2025
|
Bijan Shahbaz Nejad, Peter Roch, Marcus Handte, Pedro José Marrón: On-device Classification of Transport Modes for ATMo². In: Solving Conflicts on the Way to Sustainable Mobility, Springer, Forthcoming. @inproceedings{nokey,
title = {On-device Classification of Transport Modes for ATMo²},
author = {Bijan Shahbaz Nejad and Peter Roch and Marcus Handte and Pedro José Marrón},
year = {2025},
date = {2025-07-27},
urldate = {2025-07-27},
booktitle = {Solving Conflicts on the Way to Sustainable Mobility},
publisher = {Springer},
howpublished = {Wissenschaftsforum Mobilität 2025},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
|
Marcus Handte, Alexander J. Golkowski, Christopher W. Frank, Pedro José Marrón: MobyDex: A Platform for Analyzing Multimodal Mobility Systems. In: Proff, Heike (Ed.): New Players in Mobility: Technische und betriebswirtschaftliche Aspekte, pp. 497–514, Springer Fachmedien Wiesbaden, Wiesbaden, 2025, ISBN: 978-3-658-46485-1. @inbook{Handte2025,
title = {MobyDex: A Platform for Analyzing Multimodal Mobility Systems},
author = {Marcus Handte and Alexander J. Golkowski and Christopher W. Frank and Pedro José Marrón},
editor = {Heike Proff},
url = {https://doi.org/10.1007/978-3-658-46485-1_31},
doi = {10.1007/978-3-658-46485-1_31},
isbn = {978-3-658-46485-1},
year = {2025},
date = {2025-01-01},
booktitle = {New Players in Mobility: Technische und betriebswirtschaftliche Aspekte},
pages = {497–514},
publisher = {Springer Fachmedien Wiesbaden},
address = {Wiesbaden},
abstract = {The objective of reaching net zero emissions of greenhouse gases set out by the European Climate Law (Europe-an Parliament, 2021) requires significant changes in the mobility sector. Today, most emissions in this sector are caused by cars equipped with combustion engines (Umweltbundesamt, 2023). Thus, providing competitive sus-tainable alternatives to motorized individual transport is generally considered to be a critical factor for a successful transformation. When bundled as easy-to-use Mobility-as-a-Service (MaaS) offerings, integrated multimodal mobili-ty systems can provide such an alternative (Ministerium für Verkehr des Landes Nordrhein-Westfahlen, 2022). However, due to their heterogenous nature, high variability and large size, the analysis and planning of their struc-ture raises several challenges.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
The objective of reaching net zero emissions of greenhouse gases set out by the European Climate Law (Europe-an Parliament, 2021) requires significant changes in the mobility sector. Today, most emissions in this sector are caused by cars equipped with combustion engines (Umweltbundesamt, 2023). Thus, providing competitive sus-tainable alternatives to motorized individual transport is generally considered to be a critical factor for a successful transformation. When bundled as easy-to-use Mobility-as-a-Service (MaaS) offerings, integrated multimodal mobili-ty systems can provide such an alternative (Ministerium für Verkehr des Landes Nordrhein-Westfahlen, 2022). However, due to their heterogenous nature, high variability and large size, the analysis and planning of their struc-ture raises several challenges. |
Simon Janzon, Carlos Medina-Sánchez, Alexander J. Golkowski, Marcus Handte, Pedro José Marrón: Enhancing 3D Scene Graphs with Real-Time Room Classification. Forthcoming. @conference{Janzon2025,
title = {Enhancing 3D Scene Graphs with Real-Time Room Classification},
author = {Simon Janzon and Carlos Medina-Sánchez and Alexander J. Golkowski and Marcus Handte and Pedro José Marrón},
year = {2025},
date = {2025-05-23},
abstract = {In recent years, 3D scene graphs have become a critical tool in robotics and computer vision for enabling systems to understand both the geometric and semantic aspects of their surroundings. These data structures represent spatial and semantic relationships between objects in a three-dimensional environment, supporting tasks like navigation, object manipulation, and scene understanding. This paper presents a real-time pipeline for 3D scene graph generation that offers flexibility in image segmentation techniques while incorporating room classification that is based on a Random Forest model. Our work enables robots to dynamically update their understanding of complex and large-scale environments in real-time. We evaluate our approach systematically on a dataset and in a real-life experiment. The results demonstrate the capability of running our solution at over 10 Hz on an Nvidia Jetson AGX Orin SoC while also scaling favorably in larger environments. Our proposed room classification approach predicts classes with an average accuracy of 80%.},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
In recent years, 3D scene graphs have become a critical tool in robotics and computer vision for enabling systems to understand both the geometric and semantic aspects of their surroundings. These data structures represent spatial and semantic relationships between objects in a three-dimensional environment, supporting tasks like navigation, object manipulation, and scene understanding. This paper presents a real-time pipeline for 3D scene graph generation that offers flexibility in image segmentation techniques while incorporating room classification that is based on a Random Forest model. Our work enables robots to dynamically update their understanding of complex and large-scale environments in real-time. We evaluate our approach systematically on a dataset and in a real-life experiment. The results demonstrate the capability of running our solution at over 10 Hz on an Nvidia Jetson AGX Orin SoC while also scaling favorably in larger environments. Our proposed room classification approach predicts classes with an average accuracy of 80%. |
2024
|
Bijan Shahbaz Nejad, Peter Roch, Marcus Handte, Pedro José Marrón: A visual foreign object detection system for wireless charging of electric vehicles. In: Machine Vision and Applications, vol. 35, no. 4, pp. 69, 2024, ISSN: 1432-1769. @article{shahbaznejad_2024,
title = {A visual foreign object detection system for wireless charging of electric vehicles},
author = {Bijan Shahbaz Nejad and Peter Roch and Marcus Handte and Pedro José Marrón},
url = {https://doi.org/10.1007/s00138-024-01553-z},
doi = {10.1007/s00138-024-01553-z},
issn = {1432-1769},
year = {2024},
date = {2024-05-22},
journal = {Machine Vision and Applications},
volume = {35},
number = {4},
pages = {69},
abstract = {Wireless charging of electric vehicles can be achieved by installing a transmitter coil into the ground and a receiver coil at the underbody of a vehicle. In order to charge efficiently, accurate alignment of the charging components must be accomplished, which can be achieved with a camera-based positioning system. Due to an air gap between both charging components, foreign objects can interfere with the charging process and pose potential hazards to the environment. Various foreign object detection systems have been developed with the motivation to increase the safety of wireless charging. In this paper, we propose a foreign object detection technique that utilizes the integrated camera of an embedded positioning system. Due to operation in an outdoor environment, we cannot determine the types of objects that may occur in advance. Accordingly, our approach achieves object-type independence by learning the features of the charging surface, to then classify anomalous regions as foreign objects. To examine the capability of detecting foreign objects, we evaluate our approach by conducting experiments with images depicting known and unknown object types. For the experiments, we use an image dataset recorded by a positioning camera of an operating wireless charging station in an outdoor environment, which we published alongside our research. As a benchmark system, we employ YOLOv8 (Jocher et al. in Ultralytics YOLO, 2023), a state-of-the-art neural network that has been used in various contexts for foreign object detection. While we acknowledge the performance of YOLOv8 for known object types, our approach achieves up to 18% higher precision and 46% higher detection success for unknown objects.
},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Wireless charging of electric vehicles can be achieved by installing a transmitter coil into the ground and a receiver coil at the underbody of a vehicle. In order to charge efficiently, accurate alignment of the charging components must be accomplished, which can be achieved with a camera-based positioning system. Due to an air gap between both charging components, foreign objects can interfere with the charging process and pose potential hazards to the environment. Various foreign object detection systems have been developed with the motivation to increase the safety of wireless charging. In this paper, we propose a foreign object detection technique that utilizes the integrated camera of an embedded positioning system. Due to operation in an outdoor environment, we cannot determine the types of objects that may occur in advance. Accordingly, our approach achieves object-type independence by learning the features of the charging surface, to then classify anomalous regions as foreign objects. To examine the capability of detecting foreign objects, we evaluate our approach by conducting experiments with images depicting known and unknown object types. For the experiments, we use an image dataset recorded by a positioning camera of an operating wireless charging station in an outdoor environment, which we published alongside our research. As a benchmark system, we employ YOLOv8 (Jocher et al. in Ultralytics YOLO, 2023), a state-of-the-art neural network that has been used in various contexts for foreign object detection. While we acknowledge the performance of YOLOv8 for known object types, our approach achieves up to 18% higher precision and 46% higher detection success for unknown objects.
|
Arman Arzani, Marcus Handte, Pedro José Marrón: Discovering Potential Founders within Academic Institutions. In: International Journal of Data Science and Analytics, 2024, ISSN: 2364-4168. @article{Arzani2024,
title = {Discovering Potential Founders within Academic Institutions},
author = {Arman Arzani and Marcus Handte and Pedro José Marrón},
doi = {10.1007/s41060-024-00663-1},
issn = {2364-4168},
year = {2024},
date = {2024-10-14},
urldate = {2024-10-14},
journal = {International Journal of Data Science and Analytics},
publisher = {Springer Science and Business Media LLC},
abstract = {<jats:title>Abstract</jats:title><jats:p>Technology transfer is central to the development of an iconic entrepreneurial university. To foster knowledge transfer, many universities undergo a scouting process by their innovation coaches. The goal is to find staff members and students, who have the knowledge, expertise, and the potential to found startups by transforming their research results into a product. Since there is no systematic approach to measure the innovation potential of university members based on their academic activities, the scouting process is typically subjective and relies heavily on the experience of the innovation coaches. In this paper, we study the discovery of potential founders to support the scouting process using a data-driven approach. We create a novel data set by integrating the founder profiles with the academic activities from 8 universities across 5 countries. We explain the process of data integration as well as feature engineering. By applying machine learning methods, we investigate the classification accuracy of founders based on their academic background. Our analysis shows that using a random forest (RF), it is possible to differentiate founders and non-founders with an average accuracy of 79%. This accuracy remains mostly stable when applying an RF trained on one university to another, suggesting the existence of a generic founder profile. The detailed analysis indicates a high significance of the career path as well as patent- and grant-related features among others. Furthermore, we show that using a RF, it is possible to exploit these features to predict the future founding probability up to 3 years in advance with an accuracy of 80%. Finally, by analyzing the academic disciplines of founders we show that the patent documents have more influence on the startup’s core orientation than the publications.</jats:p>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<jats:title>Abstract</jats:title><jats:p>Technology transfer is central to the development of an iconic entrepreneurial university. To foster knowledge transfer, many universities undergo a scouting process by their innovation coaches. The goal is to find staff members and students, who have the knowledge, expertise, and the potential to found startups by transforming their research results into a product. Since there is no systematic approach to measure the innovation potential of university members based on their academic activities, the scouting process is typically subjective and relies heavily on the experience of the innovation coaches. In this paper, we study the discovery of potential founders to support the scouting process using a data-driven approach. We create a novel data set by integrating the founder profiles with the academic activities from 8 universities across 5 countries. We explain the process of data integration as well as feature engineering. By applying machine learning methods, we investigate the classification accuracy of founders based on their academic background. Our analysis shows that using a random forest (RF), it is possible to differentiate founders and non-founders with an average accuracy of 79%. This accuracy remains mostly stable when applying an RF trained on one university to another, suggesting the existence of a generic founder profile. The detailed analysis indicates a high significance of the career path as well as patent- and grant-related features among others. Furthermore, we show that using a RF, it is possible to exploit these features to predict the future founding probability up to 3 years in advance with an accuracy of 80%. Finally, by analyzing the academic disciplines of founders we show that the patent documents have more influence on the startup’s core orientation than the publications.</jats:p> |
Peter Roch, Bijan Shahbaz Nejad, Marcus Handte, Pedro José Marrón: Axes-aligned non-linear optimized PnP algorithm. In: Machine Vision and Applications, vol. 35, no. 6, pp. 137, 2024, ISSN: 1432-1769. @article{axes_aligned_non_linear_optimized_pnp_algorithm,
title = {Axes-aligned non-linear optimized PnP algorithm},
author = {Peter Roch and Bijan Shahbaz Nejad and Marcus Handte and Pedro José Marrón},
doi = {10.1007/s00138-024-01618-z},
issn = {1432-1769},
year = {2024},
date = {2024-10-17},
journal = {Machine Vision and Applications},
volume = {35},
number = {6},
pages = {137},
abstract = {Pose estimation is an important component of many real-world computer vision systems. Most existing pose estimation algorithms need a large number of point correspondences to accurately determine the pose of an object. Since the number of point correspondences depends on the object's appearance, lighting and other external conditions, detecting many points may not be feasible. In many real-world applications, the movement of objects is limited, e.g. due to gravity. Hence, detecting objects with only three degrees of freedom is usually sufficient. This allows us to improve the accuracy of pose estimation by changing the underlying equations of the perspective-n-point problem to three variables instead of six. By using the simplified equations, our algorithm is more robust against detection errors with limited point correspondences. In this article, we study three scenarios where such constraints apply. The first one is about parking a vehicle on a specific spot. Here, a stationary camera is detecting the vehicle to assist the driver. The second scenario describes the perspective of a moving camera detecting objects in its environment. This scenario is common for driver assistance systems, autonomous cars or mobile robots. Third, we describe a camera observing objects from a birds-eye view, which occurs in industrial applications. In all three scenarios, observed objects can only move in the ground plane and rotate around the vertical axis. Hence, three degrees of freedom are sufficient to estimate the pose. Experiments with synthetic data and real-world photographs have shown that our algorithm outperforms state-of-the-art pose estimation algorithms. Depending on the scenario, our algorithm is able to achieve 50% better accuracy, while being equally fast.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pose estimation is an important component of many real-world computer vision systems. Most existing pose estimation algorithms need a large number of point correspondences to accurately determine the pose of an object. Since the number of point correspondences depends on the object's appearance, lighting and other external conditions, detecting many points may not be feasible. In many real-world applications, the movement of objects is limited, e.g. due to gravity. Hence, detecting objects with only three degrees of freedom is usually sufficient. This allows us to improve the accuracy of pose estimation by changing the underlying equations of the perspective-n-point problem to three variables instead of six. By using the simplified equations, our algorithm is more robust against detection errors with limited point correspondences. In this article, we study three scenarios where such constraints apply. The first one is about parking a vehicle on a specific spot. Here, a stationary camera is detecting the vehicle to assist the driver. The second scenario describes the perspective of a moving camera detecting objects in its environment. This scenario is common for driver assistance systems, autonomous cars or mobile robots. Third, we describe a camera observing objects from a birds-eye view, which occurs in industrial applications. In all three scenarios, observed objects can only move in the ground plane and rotate around the vertical axis. Hence, three degrees of freedom are sufficient to estimate the pose. Experiments with synthetic data and real-world photographs have shown that our algorithm outperforms state-of-the-art pose estimation algorithms. Depending on the scenario, our algorithm is able to achieve 50% better accuracy, while being equally fast. |
Marcus Handte, Lisa Kraus, Pedro José Marrón, Heike Proff: Analyzing the Mobility of University Members for InnaMoRuhr. In: Proff, Heike (Ed.): Next Chapter in Mobility: Technische und betriebswirtschaftliche Aspekte, pp. 461–474, Springer Fachmedien Wiesbaden, Wiesbaden, 2024, ISBN: 978-3-658-42647-7. @inbook{Handte2024,
title = {Analyzing the Mobility of University Members for InnaMoRuhr},
author = {Marcus Handte and Lisa Kraus and Pedro José Marrón and Heike Proff},
editor = {Heike Proff},
url = {https://doi.org/10.1007/978-3-658-42647-7_31},
doi = {10.1007/978-3-658-42647-7_31},
isbn = {978-3-658-42647-7},
year = {2024},
date = {2024-01-01},
booktitle = {Next Chapter in Mobility: Technische und betriebswirtschaftliche Aspekte},
pages = {461–474},
publisher = {Springer Fachmedien Wiesbaden},
address = {Wiesbaden},
abstract = {The goal of the InnaMoRuhr research project is the development of an integrated and sustainable mobility concept for the University Alliance Ruhr. As basis for this concept, we have been studying the mobility of the university staff and students during field trials. To capture the mobility choices of the participants, we have developed and deployed mobile applications that enable the automated tracking of the mobility patterns of their users. Apart from supporting fully automated tracking, the applications also enable users to manually provide additional feedback on their trips. To systematically evaluate the collected data, we have developed several data analysis tools.},
keywords = {},
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}
The goal of the InnaMoRuhr research project is the development of an integrated and sustainable mobility concept for the University Alliance Ruhr. As basis for this concept, we have been studying the mobility of the university staff and students during field trials. To capture the mobility choices of the participants, we have developed and deployed mobile applications that enable the automated tracking of the mobility patterns of their users. Apart from supporting fully automated tracking, the applications also enable users to manually provide additional feedback on their trips. To systematically evaluate the collected data, we have developed several data analysis tools. |
2023
|
Peter Roch, Bijan Shahbaz Nejad, Marcus Handte, Pedro José Marrón: Positionierung induktiv geladener Fahrzeuge. In: Proff, Heike, Clemens, Markus, Marrón, Pedro José, Schmülling, Benedikt (Ed.): Induktive Taxiladung für den öffentlichen Raum: Technische und betriebswirtschaftliche Aspekte, pp. 93–142, 2023, ISBN: 978-3-658-39979-5. @inproceedings{talako-book-chapter,
title = {Positionierung induktiv geladener Fahrzeuge},
author = {Peter Roch and Bijan Shahbaz Nejad and Marcus Handte and Pedro José Marrón},
editor = {Heike Proff and Markus Clemens and Pedro José Marrón and Benedikt Schmülling},
doi = {10.1007/978-3-658-39979-5_5},
isbn = {978-3-658-39979-5},
year = {2023},
date = {2023-05-05},
booktitle = {Induktive Taxiladung für den öffentlichen Raum: Technische und betriebswirtschaftliche Aspekte},
pages = {93--142},
abstract = {Ziel des TALAKO Projekts ist es, kabelloses Laden von Elektrofahrzeugen im öffentlichen Raum zu ermöglichen. Induktives Laden erfordert eine präzise Ausrichtung des Fahrzeugs, um einen effizienten Ladevorgang zu gewährleisten. Dabei hat die Ausrichtung des Fahrzeugs direkten Einfluss auf den Wirkungsgrad. Der Positionierungsvorgang kann für den Fahrer herausfordernd sein, da er den Versatz der Ladekomponenten ohne weitere Unterstützung nicht wahrnehmen kann. Daher umfasst die entwickelte Anlage neben der induktiven Ladeinfrastruktur selbst ebenfalls ein kamerabasiertes Fahrerassistenzsystem. Das Fahrerassistenzsystem wird dazu genutzt, anfahrende Fahrzeuge zu erkennen und den Fahrer beim Positionierungsvorgang zu unterstützen. Es besteht aus zwei Komponenten: einem kamerabasierten Positionierungssystem und einer Fahrerleitanwendung. Das Positionierungssystem nutzt Kamerabilder, um die Position von Fahrzeugen mit einer Genauigkeit von 5 cm zu berechnen. Daraus wird der Abstand zwischen Fahrzeug und Ladeplatte abgeleitet. Die Fahrerleitanwendung interpretiert die Positionsinformationen und generiert daraufhin geeignete Anweisungen für den Fahrer. Das Positionierungssystem basiert auf einem neuronalen Netz, welches die Reifen des Fahrzeugs erkennt. Da der Abstand zwischen den Reifen bekannt ist, kann daraus die Position und Rotation des Fahrzeugs errechnet werden. Untersuchungen haben ergeben, dass die Genauigkeit im Bereich von 5 cm liegt. Um das Positionierungssystem unabhängig vom Fahrzeugtyp und Installationsort zu betreiben, muss es entsprechend konfiguriert werden. Dazu muss das neuronale Netz trainiert und die Kameraausrichtung kalibriert werden. Das Training des neuronalen Netzes wird mit synthetisch generierten Bildern ergänzt, welche mit einem eigens entwickelten Bildgenerator produziert werden können. Die Kameraausrichtung wird mit einem speziellen Muster bestimmt, welches an verschiedenen Stellen auf dem Untergrund platziert wird. Da die realen Maße des Musters bekannt sind, lässt sich daraus die Geometrie des Installationsortes ableiten. Im Rahmen einer Nutzerstudie wurde untersucht, welche Bildschirmmodalität für die Fahrerleitanwendung unter den gegebenen Umständen optimal eingesetzt werden kann. Die Studie hat ergeben, dass Nutzer einen im Fahrzeug befindlichen Bildschirm für die Ausgabe von Anweisungen bevorzugen. Daher wurde die Fahrerleitanwendung durch eine mobile Anwendung realisiert. Diese zeigt dem Fahrer die Position des Fahrzeugs in Relation zur Ladestation an. Für die Darstellung der räumlichen Relationen wurden verschiedene Visualisierungen miteinander verglichen. Mit mehreren Visualisierungen sind die Nutzer in der Lage, das Fahrzeug in einem Toleranzbereich von 5 cm zu positionieren. Die meisten Nutzer bevorzugen jedoch eine Darstellung aus der Vogelperspektive. Die Kommunikation der beiden Komponenten wurde mittels Bluetooth Low Energy umgesetzt. Im Gegensatz zu anderen drahtlosen Kommunikationsmöglichkeiten, wie z. B. WLAN, bietet dies den Vorteil, dass Informationen ohne Verzögerung eines Verbindungsaufbaus an die mobile Anwendung gesendet werden können. Dadurch kann der Fahrer unmittelbar nach Ankunft an der Anlage die Positionierung verzögerungsfrei starten. Das Gesamtsystem wurde prototypisch bei einem Taxiunternehmen in Mülheim a. d. R. (Auto Stephany GmbH (2012) Auto Stephany GmbH – Taxi Dienstleistungen. Abgerufen am 04. 08. 2022 von https://taxi-stephany.de/) in Betrieb genommen und über mehrere Monate iterativ optimiert. Während dieser Zeit wurden wertvolle Erfahrungen gesammelt, die dazu beigetragen haben, dass sowohl das Positionierungssystem als auch die Fahrerleitanwendung stetig verbessert wurden. Nach Abschluss der Optimierungen konnte das entwickelte System erfolgreich als Bestandteil der Pilotanlage in Köln mit mehreren Ladeplätzen eingesetzt werden. Da die Pilotanlage in Köln im öffentlichen Raum betrieben wird, müssen die Persönlichkeitsrechte einzelner Personen beachtet werden. Eine explizite Einwilligung in die Datenverarbeitung durch die Betroffenen ist jedoch nicht praktikabel. Daher wurde eine automatisierte Verschleierung eingesetzt, welche personenbezogene Daten wie Kennzeichen und Gesichter aus den Kamerabildern entfernt, um eine Verarbeitung zu vermeiden.
},
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Ziel des TALAKO Projekts ist es, kabelloses Laden von Elektrofahrzeugen im öffentlichen Raum zu ermöglichen. Induktives Laden erfordert eine präzise Ausrichtung des Fahrzeugs, um einen effizienten Ladevorgang zu gewährleisten. Dabei hat die Ausrichtung des Fahrzeugs direkten Einfluss auf den Wirkungsgrad. Der Positionierungsvorgang kann für den Fahrer herausfordernd sein, da er den Versatz der Ladekomponenten ohne weitere Unterstützung nicht wahrnehmen kann. Daher umfasst die entwickelte Anlage neben der induktiven Ladeinfrastruktur selbst ebenfalls ein kamerabasiertes Fahrerassistenzsystem. Das Fahrerassistenzsystem wird dazu genutzt, anfahrende Fahrzeuge zu erkennen und den Fahrer beim Positionierungsvorgang zu unterstützen. Es besteht aus zwei Komponenten: einem kamerabasierten Positionierungssystem und einer Fahrerleitanwendung. Das Positionierungssystem nutzt Kamerabilder, um die Position von Fahrzeugen mit einer Genauigkeit von 5 cm zu berechnen. Daraus wird der Abstand zwischen Fahrzeug und Ladeplatte abgeleitet. Die Fahrerleitanwendung interpretiert die Positionsinformationen und generiert daraufhin geeignete Anweisungen für den Fahrer. Das Positionierungssystem basiert auf einem neuronalen Netz, welches die Reifen des Fahrzeugs erkennt. Da der Abstand zwischen den Reifen bekannt ist, kann daraus die Position und Rotation des Fahrzeugs errechnet werden. Untersuchungen haben ergeben, dass die Genauigkeit im Bereich von 5 cm liegt. Um das Positionierungssystem unabhängig vom Fahrzeugtyp und Installationsort zu betreiben, muss es entsprechend konfiguriert werden. Dazu muss das neuronale Netz trainiert und die Kameraausrichtung kalibriert werden. Das Training des neuronalen Netzes wird mit synthetisch generierten Bildern ergänzt, welche mit einem eigens entwickelten Bildgenerator produziert werden können. Die Kameraausrichtung wird mit einem speziellen Muster bestimmt, welches an verschiedenen Stellen auf dem Untergrund platziert wird. Da die realen Maße des Musters bekannt sind, lässt sich daraus die Geometrie des Installationsortes ableiten. Im Rahmen einer Nutzerstudie wurde untersucht, welche Bildschirmmodalität für die Fahrerleitanwendung unter den gegebenen Umständen optimal eingesetzt werden kann. Die Studie hat ergeben, dass Nutzer einen im Fahrzeug befindlichen Bildschirm für die Ausgabe von Anweisungen bevorzugen. Daher wurde die Fahrerleitanwendung durch eine mobile Anwendung realisiert. Diese zeigt dem Fahrer die Position des Fahrzeugs in Relation zur Ladestation an. Für die Darstellung der räumlichen Relationen wurden verschiedene Visualisierungen miteinander verglichen. Mit mehreren Visualisierungen sind die Nutzer in der Lage, das Fahrzeug in einem Toleranzbereich von 5 cm zu positionieren. Die meisten Nutzer bevorzugen jedoch eine Darstellung aus der Vogelperspektive. Die Kommunikation der beiden Komponenten wurde mittels Bluetooth Low Energy umgesetzt. Im Gegensatz zu anderen drahtlosen Kommunikationsmöglichkeiten, wie z. B. WLAN, bietet dies den Vorteil, dass Informationen ohne Verzögerung eines Verbindungsaufbaus an die mobile Anwendung gesendet werden können. Dadurch kann der Fahrer unmittelbar nach Ankunft an der Anlage die Positionierung verzögerungsfrei starten. Das Gesamtsystem wurde prototypisch bei einem Taxiunternehmen in Mülheim a. d. R. (Auto Stephany GmbH (2012) Auto Stephany GmbH – Taxi Dienstleistungen. Abgerufen am 04. 08. 2022 von https://taxi-stephany.de/) in Betrieb genommen und über mehrere Monate iterativ optimiert. Während dieser Zeit wurden wertvolle Erfahrungen gesammelt, die dazu beigetragen haben, dass sowohl das Positionierungssystem als auch die Fahrerleitanwendung stetig verbessert wurden. Nach Abschluss der Optimierungen konnte das entwickelte System erfolgreich als Bestandteil der Pilotanlage in Köln mit mehreren Ladeplätzen eingesetzt werden. Da die Pilotanlage in Köln im öffentlichen Raum betrieben wird, müssen die Persönlichkeitsrechte einzelner Personen beachtet werden. Eine explizite Einwilligung in die Datenverarbeitung durch die Betroffenen ist jedoch nicht praktikabel. Daher wurde eine automatisierte Verschleierung eingesetzt, welche personenbezogene Daten wie Kennzeichen und Gesichter aus den Kamerabildern entfernt, um eine Verarbeitung zu vermeiden.
|
Sayedsepehr Mosavat, Matteo Zella, Marcus Handte, Alexander Julian Golkowski, Pedro José Marrón: Experience: ARISTOTLE: wAke-up ReceIver-based, STar tOpology baTteryLEss sensor network. In: Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, ACM Digital Library, 2023, ISBN: 979-8-4007-0118-4. @inproceedings{mosavat2023experience,
title = {Experience: ARISTOTLE: wAke-up ReceIver-based, STar tOpology baTteryLEss sensor network},
author = {Sayedsepehr Mosavat and Matteo Zella and Marcus Handte and Alexander Julian Golkowski and Pedro José Marrón},
doi = {10.1145/3583120.3586961},
isbn = {979-8-4007-0118-4},
year = {2023},
date = {2023-05-09},
booktitle = {Proceedings of the 22nd International Conference on Information Processing in Sensor Networks},
publisher = {ACM Digital Library},
abstract = {A truly ubiquitous, planet-wide Internet of Things requires ultra-low-power, long-lasting sensor nodes at its core so that it can be practically utilized in real-world scenarios without prohibitively high maintenance efforts. Recent advances in energy harvesting and low-power electronics have provided a solid foundation for the design of such sensor nodes. However, the issue of reliable two-way communication among such devices is still an active research undertaking due to the high energy footprint of traditional wireless transceivers. Although approaches such as radio duty cycling have proved beneficial for reducing the overall energy consumption of wireless sensor nodes, they come with trade-offs such as increased communication latency and complex protocols. To address these limitations, we propose ARISTOTLE, an ultra-low-power, wake-up receiver-based sensor node design employing a star network topology. We have deployed ARISTOTLE in two different venues for carrying out the task of weather data collection. In addition to reporting the results of the two deployments, we also evaluate several performance aspects of our proposed solution. ARISTOTLE has a mean power consumption of 236.67 uW while it is in sleep mode and monitoring the radio channel for incoming wake-up signals. Utilizing various sizes of supercapacitors, ARISTOTLE was able to reach system availabilities between 47.83% and 97.36% during our real-world deployments.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
A truly ubiquitous, planet-wide Internet of Things requires ultra-low-power, long-lasting sensor nodes at its core so that it can be practically utilized in real-world scenarios without prohibitively high maintenance efforts. Recent advances in energy harvesting and low-power electronics have provided a solid foundation for the design of such sensor nodes. However, the issue of reliable two-way communication among such devices is still an active research undertaking due to the high energy footprint of traditional wireless transceivers. Although approaches such as radio duty cycling have proved beneficial for reducing the overall energy consumption of wireless sensor nodes, they come with trade-offs such as increased communication latency and complex protocols. To address these limitations, we propose ARISTOTLE, an ultra-low-power, wake-up receiver-based sensor node design employing a star network topology. We have deployed ARISTOTLE in two different venues for carrying out the task of weather data collection. In addition to reporting the results of the two deployments, we also evaluate several performance aspects of our proposed solution. ARISTOTLE has a mean power consumption of 236.67 uW while it is in sleep mode and monitoring the radio channel for incoming wake-up signals. Utilizing various sizes of supercapacitors, ARISTOTLE was able to reach system availabilities between 47.83% and 97.36% during our real-world deployments. |
Alexander Julian Golkowski, Marcus Handte, Pedro Jose Marron, Alexander Wedemeyer, Jakob Robert: A Low-Cost Binaural Hearing Support System for Mobile Robots. In: Proceedings of the 2023 International Conference on Robotics, Control and Vision Engineering, pp. 18–24, Association for Computing Machinery, Tokyo, Japan, 2023, ISBN: 9798400707742. @inproceedings{10.1145/3608143.3608147,
title = {A Low-Cost Binaural Hearing Support System for Mobile Robots},
author = {Alexander Julian Golkowski and Marcus Handte and Pedro Jose Marron and Alexander Wedemeyer and Jakob Robert},
url = {https://doi.org/10.1145/3608143.3608147},
doi = {10.1145/3608143.3608147},
isbn = {9798400707742},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {Proceedings of the 2023 International Conference on Robotics, Control and Vision Engineering},
pages = {18–24},
publisher = {Association for Computing Machinery},
address = {Tokyo, Japan},
series = {RCVE '23},
abstract = {The ability to quickly obtain a comprehensive picture of the environment is an important prerequisite for the realization of robust and safe autonomous navigation with mobile robots. Due to their comparatively low computational requirements and cost, as well as their ability to provide omnidirectional perception, audio systems can be an excellent complement to more sophisticated or expensive sensing systems such as cameras or lidars. In this paper, we describe the development of a low-cost binaural audio system capable of interpreting the acoustic information present in an environment to assist a lidar system in making decisions that need to be made by a mobile robot. By taking advantage of the robot’s mobility, the system can resolve the uncertainties inherent in consciously choosing two off-the-shelf microphones and effectively realize 360-degree coverage. This opens up new possibilities, for example, to make room monitoring much more reliable.},
keywords = {},
pubstate = {published},
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}
The ability to quickly obtain a comprehensive picture of the environment is an important prerequisite for the realization of robust and safe autonomous navigation with mobile robots. Due to their comparatively low computational requirements and cost, as well as their ability to provide omnidirectional perception, audio systems can be an excellent complement to more sophisticated or expensive sensing systems such as cameras or lidars. In this paper, we describe the development of a low-cost binaural audio system capable of interpreting the acoustic information present in an environment to assist a lidar system in making decisions that need to be made by a mobile robot. By taking advantage of the robot’s mobility, the system can resolve the uncertainties inherent in consciously choosing two off-the-shelf microphones and effectively realize 360-degree coverage. This opens up new possibilities, for example, to make room monitoring much more reliable. |
Arman Arzani, Marcus Handte, Matteo Zella, Pedro José Marrón: Exploiting Topic Modelling for the Identification of Untapped Scientific Collaborations. In: 2023 the 7th International Conference on Information System and Data Mining (ICISDM), pp. 73–81, Association for Computing Machinery, Atlanta, USA, 2023, ISBN: 9798400700637. @inproceedings{10.1145/3603765.3603774,
title = {Exploiting Topic Modelling for the Identification of Untapped Scientific Collaborations},
author = {Arman Arzani and Marcus Handte and Matteo Zella and Pedro José Marrón},
url = {https://doi.org/10.1145/3603765.3603774},
doi = {10.1145/3603765.3603774},
isbn = {9798400700637},
year = {2023},
date = {2023-01-01},
booktitle = {2023 the 7th International Conference on Information System and Data Mining (ICISDM)},
pages = {73–81},
publisher = {Association for Computing Machinery},
address = {Atlanta, USA},
series = {ICISDM 2023},
abstract = {Finding potential collaborators has become a challenge due to the growing number of scientists in organizations such as universities, research institutes, or companies. Collaboration Recommendation Systems (CRSs) have been developed to help researchers identify possible collaboration partners, but they often rely on citation graphs or paper abstracts which may not be readily available in organizational databases or online sources. However, scientific publication titles provide consistent bibliometric data that can provide insights into research areas. TOMOSCO is a topic modelling framework that uses transformer-based methods to extract research area information from small amounts of text, such as publication titles or brief project descriptions. TOMOSCO can classify, cluster, and match research topics across different disciplines, uncovering relationships among scientists and suggesting potential interdisciplinary collaborations. In experiments, TOMOSCO was able to identify existing collaborations with over 90% accuracy based solely on publication titles and propose new collaborations based on previously unseen publications and project descriptions.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Finding potential collaborators has become a challenge due to the growing number of scientists in organizations such as universities, research institutes, or companies. Collaboration Recommendation Systems (CRSs) have been developed to help researchers identify possible collaboration partners, but they often rely on citation graphs or paper abstracts which may not be readily available in organizational databases or online sources. However, scientific publication titles provide consistent bibliometric data that can provide insights into research areas. TOMOSCO is a topic modelling framework that uses transformer-based methods to extract research area information from small amounts of text, such as publication titles or brief project descriptions. TOMOSCO can classify, cluster, and match research topics across different disciplines, uncovering relationships among scientists and suggesting potential interdisciplinary collaborations. In experiments, TOMOSCO was able to identify existing collaborations with over 90% accuracy based solely on publication titles and propose new collaborations based on previously unseen publications and project descriptions. |
Arman Arzani, Marcus Handte, Pedro José Marrón: Challenges in Implementing a University-Based Innovation Search Engine. In: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, pp. 477-486, INSTICC SciTePress, 2023, ISSN: 2184-3228. @inproceedings{10.5220/0012263100003598,
title = {Challenges in Implementing a University-Based Innovation Search Engine},
author = {Arman Arzani and Marcus Handte and Pedro José Marrón},
doi = {10.5220/0012263100003598},
issn = {2184-3228},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR},
pages = {477-486},
publisher = {SciTePress},
organization = {INSTICC},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Arman Arzani, Marcus Handte, Matteo Zella, Pedro José Marrón: Discovering Potential Founders Based on Academic Background. In: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS, pp. 117-125, INSTICC SciTePress, 2023, ISSN: 2184-3228, (Best Poster Award). @inproceedings{10.5220/0012156200003598,
title = {Discovering Potential Founders Based on Academic Background},
author = {Arman Arzani and Marcus Handte and Matteo Zella and Pedro José Marrón},
doi = {10.5220/0012156200003598},
issn = {2184-3228},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS},
pages = {117-125},
publisher = {SciTePress},
organization = {INSTICC},
note = {Best Poster Award},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bijan Shahbaz Nejad, Peter Roch, Marcus Handte, Pedro José Marrón: Visual Foreign Object Detection for Wireless Charging of Electric Vehicles. In: George, Bebis, Golnaz, Ghiasi, Yi, Fang, Andrei, Sharf, Yue, Dong, Chris, Weaver, Zhicheng, Leo, J., LaViola Jr. Joseph, Luv, Kohli (Ed.): Advances in Visual Computing, pp. 188–201, Springer Nature Switzerland, 2023, ISBN: 978-3-031-47966-3. @inproceedings{fod_wc,
title = {Visual Foreign Object Detection for Wireless Charging of Electric Vehicles},
author = {Bijan Shahbaz Nejad and Peter Roch and Marcus Handte and Pedro José Marrón},
editor = {Bebis George
and Ghiasi Golnaz
and Fang Yi
and Sharf Andrei
and Dong Yue
and Weaver Chris
and Leo Zhicheng
and LaViola Jr. Joseph J.
and Kohli Luv},
isbn = {978-3-031-47966-3},
year = {2023},
date = {2023-10-16},
urldate = {2023-10-16},
booktitle = {Advances in Visual Computing},
volume = {18},
pages = {188--201},
publisher = {Springer Nature Switzerland},
abstract = {Wireless charging of electric vehicles can be achieved by installing a transmitter coil into the ground and a receiver coil at the underbody of a vehicle. In order to charge efficiently, accurate alignment of the charging components must be accomplished, which can be achieved with a camera-based positioning system. Due to an air gap between both charging components, foreign objects can interfere with the charging process and pose potential hazards to the environment. Various foreign object detection systems have been developed with the motivation to increase the safety of wireless charging. In this paper, we propose an object-type independent foreign object detection technique which utilizes the existing camera of an embedded positioning system. To evaluate our approach, we conduct two experiments by analyzing images from a dataset of a wireless charging surface and from a publicly available dataset depicting foreign objects in an airport environment. Our technique outperforms two background subtraction algorithms and reaches accuracy scores that are comparable to the accuracy achieved by a state-of-the-art neural network (~97%). While acknowledging the superior accuracy results of the neural network, we observe that our approach requires significantly less resources, which makes it more suitable for embedded devices. The dataset of the first experiment is published alongside this paper and consists of 3652 labeled images recorded by a positioning camera of an operating wireless charging station in an outdoor environment.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Wireless charging of electric vehicles can be achieved by installing a transmitter coil into the ground and a receiver coil at the underbody of a vehicle. In order to charge efficiently, accurate alignment of the charging components must be accomplished, which can be achieved with a camera-based positioning system. Due to an air gap between both charging components, foreign objects can interfere with the charging process and pose potential hazards to the environment. Various foreign object detection systems have been developed with the motivation to increase the safety of wireless charging. In this paper, we propose an object-type independent foreign object detection technique which utilizes the existing camera of an embedded positioning system. To evaluate our approach, we conduct two experiments by analyzing images from a dataset of a wireless charging surface and from a publicly available dataset depicting foreign objects in an airport environment. Our technique outperforms two background subtraction algorithms and reaches accuracy scores that are comparable to the accuracy achieved by a state-of-the-art neural network (~97%). While acknowledging the superior accuracy results of the neural network, we observe that our approach requires significantly less resources, which makes it more suitable for embedded devices. The dataset of the first experiment is published alongside this paper and consists of 3652 labeled images recorded by a positioning camera of an operating wireless charging station in an outdoor environment. |
Peter Roch, Bijan Shahbaz Nejad, Marcus Handte, Pedro José Marrón: Optimizing PnP-Algorithms for Limited Point Correspondences Using Spatial Constraints. In: George, Bebis, Golnaz, Ghiasi, Yi, Fang, Andrei, Sharf, Yue, Dong, Chris, Weaver, Zhicheng, Leo, J., LaViola Jr. Joseph, Luv, Kohli (Ed.): Advances in Visual Computing, pp. 215–229, Springer Nature Switzerland, 2023, ISBN: 978-3-031-47966-3. @inproceedings{limit_pnp,
title = {Optimizing PnP-Algorithms for Limited Point Correspondences Using Spatial Constraints},
author = {Peter Roch and Bijan Shahbaz Nejad and Marcus Handte and Pedro José Marrón},
editor = {Bebis George
and Ghiasi Golnaz
and Fang Yi
and Sharf Andrei
and Dong Yue
and Weaver Chris
and Leo Zhicheng
and LaViola Jr. Joseph J.
and Kohli Luv},
isbn = {978-3-031-47966-3},
year = {2023},
date = {2023-10-16},
urldate = {2023-10-16},
booktitle = {Advances in Visual Computing},
volume = {18},
pages = {215--229},
publisher = {Springer Nature Switzerland},
abstract = {Pose Estimation is an important component of many real-world computer vision systems. Most existing pose estimation algorithms need a large number of point correspondences to accurately determine the pose of an object. Since the number of point correspondences depends on the object’s appearance, lighting and other external conditions, detecting many points may not be feasible. In many real-world applications, movement of objects is limited due to gravity. Hence, detecting objects with only three degrees of freedom is usually sufficient. This allows us to improve the accuracy of pose estimation by changing the underlying equation of the perspective-n-point problem to allow only three variables instead of six. By using the improved equations, our algorithm is more robust against detection errors with limited point correspondences. In this paper, we specify two scenarios where such constraints apply. The first one is about parking a vehicle on a specific spot, while the second scenario describes a camera observing objects from a bird’s-eye view. In both scenarios, objects can only move in the ground plane and rotate around the vertical axis. Experiments with synthetic data and real-world photographs have shown that our algorithm outperforms state-of-the-art pose estimation algorithms. Depending on the scenario, our algorithm usually achieves 50% better accuracy, while being equally fast.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Pose Estimation is an important component of many real-world computer vision systems. Most existing pose estimation algorithms need a large number of point correspondences to accurately determine the pose of an object. Since the number of point correspondences depends on the object’s appearance, lighting and other external conditions, detecting many points may not be feasible. In many real-world applications, movement of objects is limited due to gravity. Hence, detecting objects with only three degrees of freedom is usually sufficient. This allows us to improve the accuracy of pose estimation by changing the underlying equation of the perspective-n-point problem to allow only three variables instead of six. By using the improved equations, our algorithm is more robust against detection errors with limited point correspondences. In this paper, we specify two scenarios where such constraints apply. The first one is about parking a vehicle on a specific spot, while the second scenario describes a camera observing objects from a bird’s-eye view. In both scenarios, objects can only move in the ground plane and rotate around the vertical axis. Experiments with synthetic data and real-world photographs have shown that our algorithm outperforms state-of-the-art pose estimation algorithms. Depending on the scenario, our algorithm usually achieves 50% better accuracy, while being equally fast. |
Marcus Handte, Lisa Kraus, Matteo Zella, Pedro José Marrón, Heike Proff: Integrated Bicycle and Public Transit Routing for InnaMoRuhr. In: Proff, Heike (Ed.): Towards the New Normal in Mobility: Technische und betriebswirtschaftliche Aspekte, pp. 529–545, Springer Fachmedien Wiesbaden, Wiesbaden, 2023, ISBN: 978-3-658-39438-7. @inbook{Handte2023,
title = {Integrated Bicycle and Public Transit Routing for InnaMoRuhr},
author = {Marcus Handte and Lisa Kraus and Matteo Zella and Pedro José Marrón and Heike Proff},
editor = {Heike Proff},
url = {https://doi.org/10.1007/978-3-658-39438-7_31},
doi = {10.1007/978-3-658-39438-7_31},
isbn = {978-3-658-39438-7},
year = {2023},
date = {2023-01-01},
booktitle = {Towards the New Normal in Mobility: Technische und betriebswirtschaftliche Aspekte},
pages = {529–545},
publisher = {Springer Fachmedien Wiesbaden},
address = {Wiesbaden},
abstract = {The goal of the InnaMoRuhr research project is the development of an integrated and sustainable mobility concept for the University Alliance Ruhr. To support the field trials of the project that are scheduled to take place in 2022 and 2023, we have been developing a web-based application that matches the available mobility options with the specific needs of university employees and students living and working in the Ruhr area. From a technical perspective, our application resembles an integrated and highly configurable multi-modal route planner that highlights the environmental impact of possible route choices. In the context of InnaMoRuhr, integrating ubiquitous bike sharing services, such as ``metropolradruhr'', with the public transportation network operated by the members of the Verkehrsverbund Rhein-Ruhr (VRR) is especially promising, since it enables travelers to cover large distances with public transportation while replacing potentially time-consuming walks or infrequent connections to remote trip destinations with short rides on inexpensive and emission-free rental bikes. In this paper, we discuss our approach for integrating bicycle and public transit routing. Thereby, we develop a model for trips between rental stations and we extend the RAPTOR algorithm for public transit routing such that it can leverage the model to efficiently compute optimal multi-modal alternatives. To validate the integration, we discuss different scenarios computed using the resulting system that demon-strate the potential to reduce the trip duration without causing additional emissions.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
The goal of the InnaMoRuhr research project is the development of an integrated and sustainable mobility concept for the University Alliance Ruhr. To support the field trials of the project that are scheduled to take place in 2022 and 2023, we have been developing a web-based application that matches the available mobility options with the specific needs of university employees and students living and working in the Ruhr area. From a technical perspective, our application resembles an integrated and highly configurable multi-modal route planner that highlights the environmental impact of possible route choices. In the context of InnaMoRuhr, integrating ubiquitous bike sharing services, such as ``metropolradruhr'', with the public transportation network operated by the members of the Verkehrsverbund Rhein-Ruhr (VRR) is especially promising, since it enables travelers to cover large distances with public transportation while replacing potentially time-consuming walks or infrequent connections to remote trip destinations with short rides on inexpensive and emission-free rental bikes. In this paper, we discuss our approach for integrating bicycle and public transit routing. Thereby, we develop a model for trips between rental stations and we extend the RAPTOR algorithm for public transit routing such that it can leverage the model to efficiently compute optimal multi-modal alternatives. To validate the integration, we discuss different scenarios computed using the resulting system that demon-strate the potential to reduce the trip duration without causing additional emissions. |
2022
|
Alexander Julian Golkowski, Marcus Handte, Leon Alexander Marold, Pedro José Marrón: Simplifying the Control of Mobile Robots through Image-based Behaviors. In: 2022 2nd International Conference on Computer, Control and Robotics (ICCCR), pp. 52-57, 2022. @inproceedings{nokey,
title = {Simplifying the Control of Mobile Robots through Image-based Behaviors},
author = {Alexander Julian Golkowski and Marcus Handte and Leon Alexander Marold and Pedro José Marrón},
doi = {10.1109/ICCCR54399.2022.9790104},
year = {2022},
date = {2022-06-14},
booktitle = {2022 2nd International Conference on Computer, Control and Robotics (ICCCR)},
pages = {52-57},
abstract = {The development and commissioning of mobile robots is usually a time-consuming and cost-intensive undertaking. Today, systems are realized primarily through the use of complex software and hardware architectures, which only partially meet modern requirements for mobile robots. The core discipline that a mobile robot must fulfill is the correct perception of its environment. To achieve this, various technologies are used that are useful for detecting obstacles or navigating targets. An increasingly attractive technology in this domain are artificial neural networks. Existing literature focuses on either improving the performance of existing systems or on training for very specialized applications. In the field of mobile robotics, the focus is usually on realizing a specific task, while little attention is paid to generalizability, cost and energy constraints. To fill this gap, this paper investigates the possibility of reducing the setup for a mobile robot application to a minimum while still enabling complex behaviors. For the implementation, we take a biological inspired approach and investigate the usability of artificial neural networks, in this case YOLOv4, in a mobile robot application. In particular, we examine whether the currently available technologies meet todays requirements.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The development and commissioning of mobile robots is usually a time-consuming and cost-intensive undertaking. Today, systems are realized primarily through the use of complex software and hardware architectures, which only partially meet modern requirements for mobile robots. The core discipline that a mobile robot must fulfill is the correct perception of its environment. To achieve this, various technologies are used that are useful for detecting obstacles or navigating targets. An increasingly attractive technology in this domain are artificial neural networks. Existing literature focuses on either improving the performance of existing systems or on training for very specialized applications. In the field of mobile robotics, the focus is usually on realizing a specific task, while little attention is paid to generalizability, cost and energy constraints. To fill this gap, this paper investigates the possibility of reducing the setup for a mobile robot application to a minimum while still enabling complex behaviors. For the implementation, we take a biological inspired approach and investigate the usability of artificial neural networks, in this case YOLOv4, in a mobile robot application. In particular, we examine whether the currently available technologies meet todays requirements. |
Marcus Handte, Lisa Kraus, Matteo Zella, Pedro José Marrón, Heike Proff, Michael Martin, Richard Figura: Visualizing Urban Mobility Options for InnaMoRuhr. In: Proff, Heike (Ed.): Transforming Mobility -- What Next? Technische und betriebswirtschaftliche Aspekte, pp. 645–658, Springer Fachmedien Wiesbaden, Wiesbaden, 2022, ISBN: 978-3-658-36430-4. @inbook{Handte2022,
title = {Visualizing Urban Mobility Options for InnaMoRuhr},
author = {Marcus Handte and Lisa Kraus and Matteo Zella and Pedro José Marrón and Heike Proff and Michael Martin and Richard Figura},
editor = {Heike Proff},
url = {https://doi.org/10.1007/978-3-658-36430-4_37},
doi = {10.1007/978-3-658-36430-4_37},
isbn = {978-3-658-36430-4},
year = {2022},
date = {2022-01-01},
booktitle = {Transforming Mobility -- What Next? Technische und betriebswirtschaftliche Aspekte},
pages = {645--658},
publisher = {Springer Fachmedien Wiesbaden},
address = {Wiesbaden},
abstract = {InnaMoRuhr (Integrierte und nachhaltige Mobilität für die Universitätsallianz Ruhr) is a multidisciplinary research project funded by the Ministry of Transport of NRW that investigates how the sustainability of mobility in the Ruhr area can be improved. The project develops concpts for integrated sustainable mobility among the members of the University Alliance Ruhr and validates them using simulation and field trials. In this paper, we describe some of the datasets as well as the visualizations that we have developed to study the mobility options available in the Ruhr area.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
InnaMoRuhr (Integrierte und nachhaltige Mobilität für die Universitätsallianz Ruhr) is a multidisciplinary research project funded by the Ministry of Transport of NRW that investigates how the sustainability of mobility in the Ruhr area can be improved. The project develops concpts for integrated sustainable mobility among the members of the University Alliance Ruhr and validates them using simulation and field trials. In this paper, we describe some of the datasets as well as the visualizations that we have developed to study the mobility options available in the Ruhr area. |
Bijan Shahbaz Nejad, Peter Roch, Marcus Handte, Pedro José Marrón: Enhancing Privacy in Computer Vision Applications: An Emotion Preserving Approach to Obfuscate Faces. In: Bebis, George, Li, Bo, Yao, Angela, Liu, Yang, Duan, Ye, Lau, Manfred, Khadka, Rajiv, Crisan, Ana, Chang, Remco (Ed.): Advances in Visual Computing, pp. 80–90, Springer Nature Switzerland, 2022, ISBN: 978-3-031-20716-7. @inproceedings{epic,
title = {Enhancing Privacy in Computer Vision Applications: An Emotion Preserving Approach to Obfuscate Faces},
author = {Bijan Shahbaz Nejad and Peter Roch and Marcus Handte and Pedro José Marrón},
editor = {George Bebis and Bo Li and Angela Yao and Yang Liu and Ye Duan and Manfred Lau and Rajiv Khadka and Ana Crisan and Remco Chang},
doi = {10.1007/978-3-031-20716-7_7},
isbn = {978-3-031-20716-7},
year = {2022},
date = {2022-10-04},
urldate = {2022-10-04},
booktitle = {Advances in Visual Computing},
volume = {17},
pages = {80--90},
publisher = {Springer Nature Switzerland},
abstract = {Computer vision offers many techniques to facilitate the extraction of semantic information from images. If the images include persons, preservation of privacy in computer vision applications is challenging, but undoubtedly desired. A common technique to prevent exposure of identities is to cover peoples' faces with, for example, a black bar. Although emotions are crucial for reasoning in many applications, facial expressions may be covered, which hinders the recognition of actual emotions. Thus, recorded images containing obfuscated faces may be useless for further analysis and investigation. We introduce an approach that enables automatic detection and obfuscation of faces. To avoid privacy conflicts, we use synthetically generated faces for obfuscation. Furthermore, we reconstruct the facial expressions of the original face, adjust the color of the new face and seamlessly clone it to the original location. To evaluate our approach experimentally, we obfuscate faces from various datasets by applying blurring, pixelation and the proposed technique. To determine the success of obfuscation, we verify whether the original and the resulting face represent the same person using a state-of-the-art matching tool. Our approach successfully obfuscates faces in more than 97{%} of the cases. This performance is comparable to blurring, which scores around 96{%}, and even better than pixelation (76{%}). Moreover, we analyze how effectively emotions can be preserved when obfuscating the faces. For this, we utilize emotion recognizers to recognize the depicted emotions before and after obfuscation. Regardless of the recognizer, our approach preserves emotions more effectively than the other techniques while preserving a convincingly natural appearance.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Computer vision offers many techniques to facilitate the extraction of semantic information from images. If the images include persons, preservation of privacy in computer vision applications is challenging, but undoubtedly desired. A common technique to prevent exposure of identities is to cover peoples' faces with, for example, a black bar. Although emotions are crucial for reasoning in many applications, facial expressions may be covered, which hinders the recognition of actual emotions. Thus, recorded images containing obfuscated faces may be useless for further analysis and investigation. We introduce an approach that enables automatic detection and obfuscation of faces. To avoid privacy conflicts, we use synthetically generated faces for obfuscation. Furthermore, we reconstruct the facial expressions of the original face, adjust the color of the new face and seamlessly clone it to the original location. To evaluate our approach experimentally, we obfuscate faces from various datasets by applying blurring, pixelation and the proposed technique. To determine the success of obfuscation, we verify whether the original and the resulting face represent the same person using a state-of-the-art matching tool. Our approach successfully obfuscates faces in more than 97{%} of the cases. This performance is comparable to blurring, which scores around 96{%}, and even better than pixelation (76{%}). Moreover, we analyze how effectively emotions can be preserved when obfuscating the faces. For this, we utilize emotion recognizers to recognize the depicted emotions before and after obfuscation. Regardless of the recognizer, our approach preserves emotions more effectively than the other techniques while preserving a convincingly natural appearance. |
Peter Roch, Bijan Shahbaz Nejad, Marcus Handte, Pedro José Marrón: GUILD - A Generator for Usable Images in Large-Scale Datasets. In: Bebis, George, Li, Bo, Yao, Angela, Liu, Yang, Duan, Ye, Lau, Manfred, Khadka, Rajiv, Crisan, Ana, Chang, Remco (Ed.): Advances in Visual Computing, pp. 245–258, Springer Nature Switzerland, 2022, ISBN: 978-3-031-20716-7. @inproceedings{guild,
title = {GUILD - A Generator for Usable Images in Large-Scale Datasets},
author = {Peter Roch and Bijan Shahbaz Nejad and Marcus Handte and Pedro José Marrón},
editor = {George Bebis and Bo Li and Angela Yao and Yang Liu and Ye Duan and Manfred Lau and Rajiv Khadka and Ana Crisan and Remco Chang},
doi = {10.1007/978-3-031-20716-7_19},
isbn = {978-3-031-20716-7},
year = {2022},
date = {2022-10-04},
urldate = {2022-10-04},
booktitle = {Advances in Visual Computing},
volume = {17},
pages = {245--258},
publisher = {Springer Nature Switzerland},
abstract = {Large image datasets are important for many different aspects of computer vision. However, creating datasets containing thousands or millions of labeled images is time consuming. Instead of manual collection of a large dataset, we propose a framework for generating large-scale datasets synthetically. Our framework is capable of generating realistic looking images with varying environmental conditions, while automatically creating labels. To evaluate usefulness of such a dataset, we generate two datasets containing vehicle images. Afterwards, we use these images to train a neural network. We then compare detection accuracy to the same neural network trained with images of existing datasets. The experiments show that our generated datasets are well-suited to train neural networks and achieve comparable accuracy to existing datasets containing real photographs, while they are much faster to create.
},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Large image datasets are important for many different aspects of computer vision. However, creating datasets containing thousands or millions of labeled images is time consuming. Instead of manual collection of a large dataset, we propose a framework for generating large-scale datasets synthetically. Our framework is capable of generating realistic looking images with varying environmental conditions, while automatically creating labels. To evaluate usefulness of such a dataset, we generate two datasets containing vehicle images. Afterwards, we use these images to train a neural network. We then compare detection accuracy to the same neural network trained with images of existing datasets. The experiments show that our generated datasets are well-suited to train neural networks and achieve comparable accuracy to existing datasets containing real photographs, while they are much faster to create.
|
2021
|
Alexander Julian Golkowski, Marcus Handte, Peter Roch, Pedro José Marrón: An Experimental Analysis of the Effects of Different Hardware Setups on Stereo Camera Systems . In: International Journal of Semantic Computing, vol. 15, no. 3, pp. 337–357, 2021, ISSN: 1793-7108. @article{nokey,
title = {An Experimental Analysis of the Effects of Different Hardware Setups on Stereo Camera Systems },
author = {Alexander Julian Golkowski and Marcus Handte and Peter Roch and Pedro José Marrón},
doi = {10.1142/S1793351X21400080},
issn = {1793-7108},
year = {2021},
date = {2021-09-17},
journal = {International Journal of Semantic Computing},
volume = {15},
number = {3},
pages = {337–357},
abstract = {For many application areas such as autonomous navigation, the ability to accurately perceive the environment is essential. For this purpose, a wide variety of well-researched sensor systems are available that can be used to detect obstacles or navigation targets. Stereo cameras have emerged as a very versatile sensing technology in this regard due to their low hardware cost and high fidelity. Consequently, much work has been done to integrate them into mobile robots. However, the existing literature focuses on presenting the concepts and algorithms used to implement the desired robot functions on top of a given camera setup. As a result, the rationale and impact of choosing this camera setup are usually neither discussed nor described. Thus, when designing the stereo camera system for a mobile robot, there is not much general guidance beyond isolated setups that worked for a specific robot. To close the gap, this paper studies the impact of the physical setup of a stereo camera system in indoor environments. To do this, we present the results of an experimental analysis in which we use a given software setup to estimate the distance to an object while systematically changing the camera setup. Thereby, we vary the three main parameters of the physical camera setup, namely the angle and distance between the cameras as well as the field of view and a rather soft parameter, the resolution. Based on the results, we derive several guidelines on how to choose the parameters for an application.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
For many application areas such as autonomous navigation, the ability to accurately perceive the environment is essential. For this purpose, a wide variety of well-researched sensor systems are available that can be used to detect obstacles or navigation targets. Stereo cameras have emerged as a very versatile sensing technology in this regard due to their low hardware cost and high fidelity. Consequently, much work has been done to integrate them into mobile robots. However, the existing literature focuses on presenting the concepts and algorithms used to implement the desired robot functions on top of a given camera setup. As a result, the rationale and impact of choosing this camera setup are usually neither discussed nor described. Thus, when designing the stereo camera system for a mobile robot, there is not much general guidance beyond isolated setups that worked for a specific robot. To close the gap, this paper studies the impact of the physical setup of a stereo camera system in indoor environments. To do this, we present the results of an experimental analysis in which we use a given software setup to estimate the distance to an object while systematically changing the camera setup. Thereby, we vary the three main parameters of the physical camera setup, namely the angle and distance between the cameras as well as the field of view and a rather soft parameter, the resolution. Based on the results, we derive several guidelines on how to choose the parameters for an application. |
Peter Roch, Bijan Shahbaz Nejad, Marcus Handte, Pedro José Marrón: Car Pose Estimation through Wheel Detection. In: Bebis, George, Athitsos, Vassilis, Yan, Tong, Lau, Manfred, Li, Frederick, Shi, Conglei, Yuan, Xiaoru, Mousas, Christos, Bruder, Gerd (Ed.): Advances in Visual Computing, pp. 265–277, Springer International Publishing, 2021, ISBN: 978-3-030-90439-5. @inproceedings{car-pose-estimation,
title = {Car Pose Estimation through Wheel Detection},
author = {Peter Roch and Bijan Shahbaz Nejad and Marcus Handte and Pedro José Marrón},
editor = {George Bebis and Vassilis Athitsos and Tong Yan and Manfred Lau and Frederick Li and Conglei Shi and Xiaoru Yuan and Christos Mousas and Gerd Bruder},
doi = {10.1007/978-3-030-90439-5_21},
isbn = {978-3-030-90439-5},
year = {2021},
date = {2021-10-06},
urldate = {2021-10-06},
booktitle = {Advances in Visual Computing},
volume = {16},
pages = {265--277},
publisher = {Springer International Publishing},
abstract = {Car pose estimation is an essential part of different applications, including traffic surveillance, Augmented Reality (AR) guides or inductive charging assistance systems. For many systems, the accuracy of the determined pose is important. When displaying AR guides, a small estimation error can result in a different visualization, which will be directly visible to the user. Inductive charging assistance systems have to guide the driver as precise as possible, as small deviations in the alignment of the charging coils can decrease charging efficiency significantly. For accurate pose estimation, matches between image coordinates and 3d real-world points have to be determined. Since wheels are a common feature of cars, we use the wheelbase and rim radius to compute those real-world points. The matching image coordinates are obtained by three different approaches, namely the circular Hough-Transform, ellipse-detection and a neural network. To evaluate the presented algorithms, we perform different experiments: First, we compare their accuracy and time performance regarding wheel-detection in a subset of the images of The Comprehensive Cars (CompCars) dataset. Second, we capture images of a car at known positions, and run the algorithms on these images to estimate the pose of the car. Our experiments show that the neural network based approach is the best in terms of accuracy and speed. However, if training of a neural network is not feasible, both other approaches are accurate alternatives.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Car pose estimation is an essential part of different applications, including traffic surveillance, Augmented Reality (AR) guides or inductive charging assistance systems. For many systems, the accuracy of the determined pose is important. When displaying AR guides, a small estimation error can result in a different visualization, which will be directly visible to the user. Inductive charging assistance systems have to guide the driver as precise as possible, as small deviations in the alignment of the charging coils can decrease charging efficiency significantly. For accurate pose estimation, matches between image coordinates and 3d real-world points have to be determined. Since wheels are a common feature of cars, we use the wheelbase and rim radius to compute those real-world points. The matching image coordinates are obtained by three different approaches, namely the circular Hough-Transform, ellipse-detection and a neural network. To evaluate the presented algorithms, we perform different experiments: First, we compare their accuracy and time performance regarding wheel-detection in a subset of the images of The Comprehensive Cars (CompCars) dataset. Second, we capture images of a car at known positions, and run the algorithms on these images to estimate the pose of the car. Our experiments show that the neural network based approach is the best in terms of accuracy and speed. However, if training of a neural network is not feasible, both other approaches are accurate alternatives. |
Bijan Shahbaz Nejad, Peter Roch, Marcus Handte, Pedro José Marrón: Evaluating User Interfaces for a Driver Guidance System to Support Stationary Wireless Charging of Electric Vehicles. In: Bebis, George, Athitsos, Vassilis, Yan, Tong, Lau, Manfred, Li, Frederick, Shi, Conglei, Yuan, Xiaoru, Mousas, Christos, Bruder, Gerd (Ed.): Advances in Visual Computing, pp. 183–196, Springer International Publishing, 2021, ISBN: 978-3-030-90439-5. @inproceedings{10.1007/978-3-030-90439-5_15,
title = {Evaluating User Interfaces for a Driver Guidance System to Support Stationary Wireless Charging of Electric Vehicles},
author = {Bijan Shahbaz Nejad and Peter Roch and Marcus Handte and Pedro José Marrón},
editor = {George Bebis and Vassilis Athitsos and Tong Yan and Manfred Lau and Frederick Li and Conglei Shi and Xiaoru Yuan and Christos Mousas and Gerd Bruder},
doi = {10.1007/978-3-030-90439-5_15},
isbn = {978-3-030-90439-5},
year = {2021},
date = {2021-10-04},
urldate = {2021-10-04},
booktitle = {Advances in Visual Computing},
volume = {16},
pages = {183--196},
publisher = {Springer International Publishing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2020
|
C. W. Frank, F. Kaspar, J. D. Keller, T. Adams, M. Felkers, B. Fischer, Marcus Handte, Pedro José Marrón, H. Paulsen, M. Neteler, J. Schiewe, M. Schuchert, C. Nickel, R. Wacker, Richard Figura: FAIR: A Project to Realize a User-Friendly Exchange of Open Weather Data. In: Advances in Science and Research, vol. 17, pp. 183–190, 2020. @article{asr-17-183-2020,
title = {FAIR: A Project to Realize a User-Friendly Exchange of Open Weather Data},
author = {C. W. Frank and F. Kaspar and J. D. Keller and T. Adams and M. Felkers and B. Fischer and Marcus Handte and Pedro José Marrón and H. Paulsen and M. Neteler and J. Schiewe and M. Schuchert and C. Nickel and R. Wacker and Richard Figura},
url = {https://asr.copernicus.org/articles/17/183/2020/},
doi = {10.5194/asr-17-183-2020},
year = {2020},
date = {2020-09-18},
journal = {Advances in Science and Research},
volume = {17},
pages = {183--190},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Peter Roch, Bijan Shahbaz Nejad, Marcus Handte, Pedro José Marrón: Systematic Optimization of Image Processing Pipelines Using GPUs. In: Bebis, George, Yin, Zhaozheng, Kim, Edward, Bender, Jan, Subr, Kartic, Kwon, Bum Chul, Zhao, Jian, Kalkofen, Denis, Baciu, George (Ed.): Advances in Visual Computing, pp. 633–646, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-64559-5. @inproceedings{image-processing-pipeline-optimization,
title = {Systematic Optimization of Image Processing Pipelines Using GPUs},
author = {Peter Roch and Bijan Shahbaz Nejad and Marcus Handte and Pedro José Marrón},
editor = {George Bebis and Zhaozheng Yin and Edward Kim and Jan Bender and Kartic Subr and Bum Chul Kwon and Jian Zhao and Denis Kalkofen and George Baciu},
doi = {10.1007/978-3-030-64559-5_50},
isbn = {978-3-030-64559-5},
year = {2020},
date = {2020-10-05},
booktitle = {Advances in Visual Computing},
volume = {15},
pages = {633--646},
publisher = {Springer International Publishing},
address = {Cham},
series = {Lecture Notes in Computer Science},
abstract = {Real-time computer vision systems require fast and efficient image processing pipelines. Experiments have shown that GPUs are highly suited for image processing operations, since many tasks can be processed in parallel. However, calling GPU-accelerated functions requires uploading the input parameters to the GPU's memory, calling the function itself, and downloading the result afterwards. In addition, since not all functions benefit from an increase in parallelism, many pipelines cannot be implemented exclusively using GPU functions. As a result, the optimization of pipelines requires a careful analysis of the achievable function speedup and the cost of copying data. In this paper, we first define a mathematical model to estimate the performance of an image processing pipeline. Thereafter, we present a number of micro-benchmarks gathered using OpenCV which we use to validate the model and which quantify the cost and benefits for different classes of functions. Our experiments show that comparing the function speedup without considering the time for copying can overestimate the achievable performance gain of GPU acceleration by a factor of two. Finally, we present a tool that analyzes the possible combinations of CPU and GPU function implementations for a given pipeline and computes the most efficient composition. By using the tool on their target hardware, developers can easily apply our model to optimize their application performance systematically.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Real-time computer vision systems require fast and efficient image processing pipelines. Experiments have shown that GPUs are highly suited for image processing operations, since many tasks can be processed in parallel. However, calling GPU-accelerated functions requires uploading the input parameters to the GPU's memory, calling the function itself, and downloading the result afterwards. In addition, since not all functions benefit from an increase in parallelism, many pipelines cannot be implemented exclusively using GPU functions. As a result, the optimization of pipelines requires a careful analysis of the achievable function speedup and the cost of copying data. In this paper, we first define a mathematical model to estimate the performance of an image processing pipeline. Thereafter, we present a number of micro-benchmarks gathered using OpenCV which we use to validate the model and which quantify the cost and benefits for different classes of functions. Our experiments show that comparing the function speedup without considering the time for copying can overestimate the achievable performance gain of GPU acceleration by a factor of two. Finally, we present a tool that analyzes the possible combinations of CPU and GPU function implementations for a given pipeline and computes the most efficient composition. By using the tool on their target hardware, developers can easily apply our model to optimize their application performance systematically. |
Bijan Shahbaz Nejad, Peter Roch, Marcus Handte, Pedro José Marrón: A Driver Guidance System to Support the Stationary Wireless Charging of Electric Vehicles. In: Bebis, George, Yin, Zhaozheng, Kim, Edward, Bender, Jan, Subr, Kartic, Kwon, Chul Bum, Zhao, Jian, Kalkofen, Denis, Baciu, George (Ed.): Advances in Visual Computing, pp. 319–331, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-64559-5. @inproceedings{driver-guidance-system,
title = {A Driver Guidance System to Support the Stationary Wireless Charging of Electric Vehicles},
author = {Bijan Shahbaz Nejad and Peter Roch and Marcus Handte and Pedro José Marrón},
editor = {George Bebis and Zhaozheng Yin and Edward Kim and Jan Bender and Kartic Subr and Chul Bum Kwon and Jian Zhao and Denis Kalkofen and George Baciu},
doi = {10.1007/978-3-030-64559-5_25},
isbn = {978-3-030-64559-5},
year = {2020},
date = {2020-10-05},
booktitle = {Advances in Visual Computing},
volume = {15},
pages = {319--331},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {Air pollution is a problem in many cities. Although it is possible to mitigate this problem by replacing combustion with electric engines, at the time of writing, electric vehicles are still a rarity in European cities. Reasons for not buying an electric vehicle are not only the high purchase costs but also the uncomfortable initiation of the charging process. A more convenient alternative is wireless charging, which is enabled by integrating an induction plate into the floor and installing a charging interface at the vehicle. To maximize efficiency, the vehicle’s charging interface must be positioned accurately above the induction plate which is integrated into the floor. Since the driver cannot perceive the region below the vehicle, it is difficult to precisely align the position of the charging interface by maneuvering the vehicle. In this paper, we first discuss the requirements for driver guidance systems that help drivers to accurately position their vehicle and thus, enables them to maximize the charging efficiency. Thereafter, we present a prototypical implementation of such a system. To minimize the deployment cost for charging station operators, our prototype uses an inexpensive off-the-shelf camera system to localize the vehicles that are approaching the station. To simplify the retrofitting of existing vehicles, the prototype uses a smartphone app to generate navigation visualizations. To validate the approach, we present experiments indicating that, despite its low cost, the prototype can technically achieve the necessary precision.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Air pollution is a problem in many cities. Although it is possible to mitigate this problem by replacing combustion with electric engines, at the time of writing, electric vehicles are still a rarity in European cities. Reasons for not buying an electric vehicle are not only the high purchase costs but also the uncomfortable initiation of the charging process. A more convenient alternative is wireless charging, which is enabled by integrating an induction plate into the floor and installing a charging interface at the vehicle. To maximize efficiency, the vehicle’s charging interface must be positioned accurately above the induction plate which is integrated into the floor. Since the driver cannot perceive the region below the vehicle, it is difficult to precisely align the position of the charging interface by maneuvering the vehicle. In this paper, we first discuss the requirements for driver guidance systems that help drivers to accurately position their vehicle and thus, enables them to maximize the charging efficiency. Thereafter, we present a prototypical implementation of such a system. To minimize the deployment cost for charging station operators, our prototype uses an inexpensive off-the-shelf camera system to localize the vehicles that are approaching the station. To simplify the retrofitting of existing vehicles, the prototype uses a smartphone app to generate navigation visualizations. To validate the approach, we present experiments indicating that, despite its low cost, the prototype can technically achieve the necessary precision. |
Alexander Julian Golkowski, Marcus Handte, Peter Roch, Pedro José Marrón: Quantifying the Impact of the Physical Setup of Stereo Camera Systems on Distance Estimations. In: 2020 Fourth IEEE International Conference on Robotic Computing (IRC), pp. 210-217, 2020. @inproceedings{9287891,
title = {Quantifying the Impact of the Physical Setup of Stereo Camera Systems on Distance Estimations},
author = {Alexander Julian Golkowski and Marcus Handte and Peter Roch and Pedro José Marrón},
doi = {10.1109/IRC.2020.00041},
year = {2020},
date = {2020-01-01},
booktitle = {2020 Fourth IEEE International Conference on Robotic Computing (IRC)},
pages = {210-217},
abstract = {The ability to perceive the environment accuratelyis a core requirement for autonomous navigation. In the past,researchers and practitioners have explored a broad spectrumof sensors that can be used to detect obstacles or to recognizenavigation targets. Due to their low hardware cost and highfidelity, stereo camera systems are often considered to be aparticularly versatile sensing technology. Consequently, there hasbeen a lot of work on integrating them into mobile robots.However, the existing literature focuses on presenting theconcepts and algorithms used to implement the desired robotfunctions on top of a given camera setup. As a result, the rationaleand impact of choosing this camera setup are usually neitherdiscussed nor described. Thus, when designing the stereo camerasystem for a mobile robot, there is not much general guidancebeyond isolated setups that worked for a specific robot.To close the gap, this paper studies the impact of the physicalsetup of a stereo camera system in indoor environments. To dothis, we present the results of an experimental analysis in whichwe use a given software setup to estimate the distance to anobject while systematically changing the camera setup. Thereby,we vary the three main parameters of the physical camerasetup, namely the angle and distance between the cameras aswell as the field of view. Based on the results, we derive severalguidelines on how to choose the parameters for an application.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The ability to perceive the environment accuratelyis a core requirement for autonomous navigation. In the past,researchers and practitioners have explored a broad spectrumof sensors that can be used to detect obstacles or to recognizenavigation targets. Due to their low hardware cost and highfidelity, stereo camera systems are often considered to be aparticularly versatile sensing technology. Consequently, there hasbeen a lot of work on integrating them into mobile robots.However, the existing literature focuses on presenting theconcepts and algorithms used to implement the desired robotfunctions on top of a given camera setup. As a result, the rationaleand impact of choosing this camera setup are usually neitherdiscussed nor described. Thus, when designing the stereo camerasystem for a mobile robot, there is not much general guidancebeyond isolated setups that worked for a specific robot.To close the gap, this paper studies the impact of the physicalsetup of a stereo camera system in indoor environments. To dothis, we present the results of an experimental analysis in whichwe use a given software setup to estimate the distance to anobject while systematically changing the camera setup. Thereby,we vary the three main parameters of the physical camerasetup, namely the angle and distance between the cameras aswell as the field of view. Based on the results, we derive severalguidelines on how to choose the parameters for an application. |
2019
|
Richard Figura, Frank Kaspar, Jan Keller, Till Adams, Miriam Felkers, Bernd Fischer, Marcus Handte, Pedro José Marrón, Hinrich Paulsen, Jochen Schiewe, Marvin Schuchert, Richard Wacker: FAIR – User-friendly provisioning of Climate- and Weather Data. 09.09.2019. @misc{Figura2019b,
title = {FAIR – User-friendly provisioning of Climate- and Weather Data},
author = {Richard Figura and Frank Kaspar and Jan Keller and Till Adams and Miriam Felkers and Bernd Fischer and Marcus Handte and Pedro José Marrón and Hinrich Paulsen and Jochen Schiewe and Marvin Schuchert and Richard Wacker},
editor = {European Meteorological Society},
url = {https://www.emetsoc.org/events/event/ems-annual-meeting-2019/},
year = {2019},
date = {2019-09-09},
abstract = {The quote ''Data is the new oil'' most clearly describes the increasing impact of information on our society and economy. One particularly valuable source of information in this regard is climate and weather data, which is instrumental in safeguarding of traffic and transportation, the optimisation of industries, the identification of potentials and risks of climate change and the development of corresponding adaptation and mitigation strategies. However, a correct understanding and handling of such data is often difficult for users without a meteorological background. Furthermore, processing and analysing this data is a challenging task that requires specialised software solutions and an infrastructure that is able to deal with huge data sets. This is a critical issue since almost 60% of the economic value in the EU is provided by SMEs[1], which do neither have the resources nor the knowledge to process weather and climate data efficiently.
Here we present FAIR, a new research project supported by the German Federal Ministry for Transport and Digital Infrastructure (BMVI) with 2.5 Million Euros. The goal of FAIR is to simplify the information exchange between the German national meteorological service (Deutscher Wetterdienst, DWD) and the economical- and public players using exemplary applications from various areas. For this purpose, FAIR defines a set of federated micro services for processing, visualisation and analysis of meteorological data. An Infrastructure as a Service (IaaS) allows small companies (or even individuals) to access these resources on demand. Further services target the extraction of specific information from model data (such as COSMO) and the conversion of the result into common formats (like GeoJSON) or the provision of the same data in OGC compliant geoservices (such as WMS/WFS) or services defined by the W3C (like SOAP or SPARQL). Assembling these kind of micro services allows us to support different kinds of applications while, at the same time, being able to acquire data from third parties and provide it to a weather service (e.g. for data assimilation).
To demonstrate the benefits of these micro services, three test scenarios are envisioned: 1) the planning of wind farms, 2) the integration of meteorological data for individual traffic routing and 3) the planning of social events, such as festivals. Three additional scenarios demonstrate data acquisition and provision by users: 1) crowdsourced sensing data coming from individual smartphones, 2) processed raster data coming from MODIS LST and 3) telemetry from airplanes.
[1] https://www.iwkoeln.de/fileadmin/publikationen/2017/344566/IW-Analyse_116_2017_Europaeische_Mittelstandspolitik.pdf
},
keywords = {},
pubstate = {published},
tppubtype = {presentation}
}
The quote ''Data is the new oil'' most clearly describes the increasing impact of information on our society and economy. One particularly valuable source of information in this regard is climate and weather data, which is instrumental in safeguarding of traffic and transportation, the optimisation of industries, the identification of potentials and risks of climate change and the development of corresponding adaptation and mitigation strategies. However, a correct understanding and handling of such data is often difficult for users without a meteorological background. Furthermore, processing and analysing this data is a challenging task that requires specialised software solutions and an infrastructure that is able to deal with huge data sets. This is a critical issue since almost 60% of the economic value in the EU is provided by SMEs[1], which do neither have the resources nor the knowledge to process weather and climate data efficiently.
Here we present FAIR, a new research project supported by the German Federal Ministry for Transport and Digital Infrastructure (BMVI) with 2.5 Million Euros. The goal of FAIR is to simplify the information exchange between the German national meteorological service (Deutscher Wetterdienst, DWD) and the economical- and public players using exemplary applications from various areas. For this purpose, FAIR defines a set of federated micro services for processing, visualisation and analysis of meteorological data. An Infrastructure as a Service (IaaS) allows small companies (or even individuals) to access these resources on demand. Further services target the extraction of specific information from model data (such as COSMO) and the conversion of the result into common formats (like GeoJSON) or the provision of the same data in OGC compliant geoservices (such as WMS/WFS) or services defined by the W3C (like SOAP or SPARQL). Assembling these kind of micro services allows us to support different kinds of applications while, at the same time, being able to acquire data from third parties and provide it to a weather service (e.g. for data assimilation).
To demonstrate the benefits of these micro services, three test scenarios are envisioned: 1) the planning of wind farms, 2) the integration of meteorological data for individual traffic routing and 3) the planning of social events, such as festivals. Three additional scenarios demonstrate data acquisition and provision by users: 1) crowdsourced sensing data coming from individual smartphones, 2) processed raster data coming from MODIS LST and 3) telemetry from airplanes.
[1] https://www.iwkoeln.de/fileadmin/publikationen/2017/344566/IW-Analyse_116_2017_Europaeische_Mittelstandspolitik.pdf
|
Marcus Handte, Pedro José Marrón, Gregor Schiele, Manuel Serrano: Adaptive Middleware for the Internet of Things - The GAMBAS Approach. River Publishers, 2019, ISBN: 9788793519787. @book{handter,
title = {Adaptive Middleware for the Internet of Things - The GAMBAS Approach},
author = {Marcus Handte and Pedro José Marrón and Gregor Schiele and Manuel Serrano},
url = {https://www.riverpublishers.com/book_details.php?book_id=684},
doi = {https://doi.org/10.13052/rp-9788793519770},
isbn = {9788793519787},
year = {2019},
date = {2019-03-01},
publisher = {River Publishers},
series = {Series in Communication},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
|
2018
|
Falk Brockmann, Richard Figura, Marcus Handte, Pedro José Marrón: RSSI based passive detection of persons for estimating properties of waiting lines using Bluetooth Low Energy. In: Proceedings of the 15th International Conference on Embedded Wireless Systems and Networks (EWSN 18), 2018. @inproceedings{Brockmann2018,
title = {RSSI based passive detection of persons for estimating properties of waiting lines using Bluetooth Low Energy},
author = {Falk Brockmann and Richard Figura and Marcus Handte and Pedro José Marrón},
year = {2018},
date = {2018-02-14},
booktitle = {Proceedings of the 15th International Conference on Embedded Wireless Systems and Networks (EWSN 18)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Falk Brockmann, Marcus Handte, Pedro José Marròn: CutiQueue: People Counting in Waiting Lines Using Bluetooth Low Energy Based Passive Presence Detection. In: 14th International Conference on Intelligent Environments (IE'18), Rome, Italy, 2018. @inproceedings{brockmann_ie18,
title = {CutiQueue: People Counting in Waiting Lines Using Bluetooth Low Energy Based Passive Presence Detection},
author = {Falk Brockmann and Marcus Handte and Pedro José Marròn},
year = {2018},
date = {2018-06-22},
booktitle = {14th International Conference on Intelligent Environments (IE'18)},
address = {Rome, Italy},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2017
|
Ngewi Fet, Marcus Handte, Pedro José Marrón: Autonomous Adaptation of Indoor Localization Systems in Smart Environments. In: Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 1, pp. 7–20, 2017. @article{fet2017autonomous,
title = {Autonomous Adaptation of Indoor Localization Systems in Smart Environments},
author = {Ngewi Fet and Marcus Handte and Pedro José Marrón},
year = {2017},
date = {2017-01-01},
journal = {Journal of Ambient Intelligence and Smart Environments},
volume = {9},
number = {1},
pages = {7--20},
publisher = {IOS Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Ngewi Fet, Marcus Handte, Pedro José Marrón: Autonomous Signal Source Displacement Detection and Recalibration of Fingerprinting-based Indoor Localization Systems. In: 8th International Conference on Indoor Positioning and Indoor Navigation (IPIN2017), Sapporo, Japan, 2017. @inproceedings{fet_ipin_2017,
title = {Autonomous Signal Source Displacement Detection and Recalibration of Fingerprinting-based Indoor Localization Systems},
author = {Ngewi Fet and Marcus Handte and Pedro José Marrón},
year = {2017},
date = {2017-09-18},
booktitle = {8th International Conference on Indoor Positioning and Indoor Navigation (IPIN2017)},
address = {Sapporo, Japan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stephan Wagner, Ngewi Fet, Marcus Handte, Pedro José Marrón: An Approach for Hybrid Indoor/Outdoor Navigation. In: 13th International Conference on Intelligent Environments (IE’17), Seoul, Korea, 2017. @inproceedings{wagner_ie_2017,
title = {An Approach for Hybrid Indoor/Outdoor Navigation},
author = {Stephan Wagner and Ngewi Fet and Marcus Handte and Pedro José Marrón},
year = {2017},
date = {2017-08-21},
booktitle = {13th International Conference on Intelligent Environments (IE’17)},
address = {Seoul, Korea},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2016
|
Ngewi Fet, Marcus Handte, Pedro José Marrón: An Approach for Autonomous Recalibration of Fingerprinting-based Indoor Localization Systems. In: 2016 12th International Conference on Intelligent Environments (IE), 2016. @inproceedings{Fet2016Calibration,
title = {An Approach for Autonomous Recalibration of Fingerprinting-based Indoor Localization Systems},
author = {Ngewi Fet and Marcus Handte and Pedro José Marrón},
year = {2016},
date = {2016-07-01},
booktitle = {2016 12th International Conference on Intelligent Environments (IE)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Falk Brockmann, Sascha Jungen, Chia-Yen Shih, Marcus Handte, Pedro José Marrón: Accurate Event Detection and Velocity Estimation in Wireless Environments. In: 5th International Conference on Wireless Sensor Networks (WSN'16), 2016. @inproceedings{Brockmann2016Speed,
title = {Accurate Event Detection and Velocity Estimation in Wireless Environments},
author = {Falk Brockmann and Sascha Jungen and Chia-Yen Shih and Marcus Handte and Pedro José Marrón},
year = {2016},
date = {2016-07-01},
booktitle = {5th International Conference on Wireless Sensor Networks (WSN'16)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Stefan Foell, Stephan Wagner, Gerd Kortuem, Pedro José Marrón: An Internet-of-Things Enabled Connected Navigation System for Urban Bus Riders. In: IEEE Internet of Things Journal, 2016. @inproceedings{handtejiot2016,
title = {An Internet-of-Things Enabled Connected Navigation System for Urban Bus Riders},
author = {Marcus Handte and Stefan Foell and Stephan Wagner and Gerd Kortuem and Pedro José Marrón},
doi = {10.1109/JIOT.2016.2554146},
year = {2016},
date = {2016-04-01},
booktitle = {IEEE Internet of Things Journal},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2015
|
Muhammad Umer Iqbal, Marcus Handte, Pedro José Marrón: A Generic Approach for Energy Efficient Context Recognition using Smart Phones. In: 2015 11th International Conference on Intelligent Environments (IE), Prague, Czech Republic, 2015. @inproceedings{iqbal_2015,
title = {A Generic Approach for Energy Efficient Context Recognition using Smart Phones},
author = {Muhammad Umer Iqbal and Marcus Handte and Pedro José Marrón},
year = {2015},
date = {2015-07-01},
booktitle = {2015 11th International Conference on Intelligent Environments (IE)},
address = {Prague, Czech Republic},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wolfgang Apolinarski, Marcus Handte, Pedro José Marrón: Automating the Generation of Privacy Policies for Context-sharing Applications. In: 2015 11th International Conference on Intelligent Environments (IE), 2015. @inproceedings{Apolinarski2015,
title = {Automating the Generation of Privacy Policies for Context-sharing Applications},
author = {Wolfgang Apolinarski and Marcus Handte and Pedro José Marrón},
year = {2015},
date = {2015-07-01},
booktitle = {2015 11th International Conference on Intelligent Environments (IE)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2014
|
Wolfgang Apolinarski, Marcus Handte, Muhammad Umer Iqbal, Pedro José Marrón: Secure interaction with piggybacked key-exchange. In: Pervasive and Mobile Computing, vol. 10, Part A, no. 0, pp. 22 - 33, 2014, ISSN: 1574-1192, (Selected Papers from the Eleventh Annual IEEE International
Conference on Pervasive Computing and Communications (PerCom 2013)). @article{Apolinarski201422,
title = {Secure interaction with piggybacked key-exchange},
author = {Wolfgang Apolinarski and Marcus Handte and Muhammad Umer Iqbal and Pedro José Marrón},
url = {http://www.sciencedirect.com/science/article/pii/S1574119213001375},
doi = {10.1016/j.pmcj.2013.10.013},
issn = {1574-1192},
year = {2014},
date = {2014-01-01},
journal = {Pervasive and Mobile Computing},
volume = {10, Part A},
number = {0},
pages = {22 - 33},
note = {Selected Papers from the Eleventh Annual IEEE International
Conference on Pervasive Computing and Communications (PerCom 2013)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Marcus Handte, Muhammad Umer Iqbal, Stephan Wagner, Wolfgang Apolinarski, Pedro José Marrón, Eva Maria Munoz Navarro, Santiago Martinez, Sara Izquierdo Barthelemy, Mario Gonzalez Fernandez: Crowd Density Estimation for Public Transport Vehicles. In: Workshop on Mining Urban Data (MUD2014), Joint Conference EDBT/ICDT, Athens, Greece, 2014. @inproceedings{Handte_MUD2014,
title = {Crowd Density Estimation for Public Transport Vehicles},
author = {Marcus Handte and Muhammad Umer Iqbal and Stephan Wagner and Wolfgang Apolinarski and Pedro José Marrón and Eva Maria Munoz Navarro and Santiago Martinez and Sara Izquierdo Barthelemy and Mario Gonzalez Fernandez},
year = {2014},
date = {2014-03-01},
booktitle = {Workshop on Mining Urban Data (MUD2014), Joint Conference EDBT/ICDT},
address = {Athens, Greece},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stefan Foell, Gerd Kortuem, Reza Rawassizadeh, Marcus Handte, Muhammad Umer Iqbal, Pedro José Marrón: Micro-navigation for urban bus passengers: using the Internet of Things to improve the public transport experience. In: First International Conference on IoT in Urban Space (Urb-IoT 2014), Rome, Italy, 2014. @inproceedings{Foell_URBIOT2014,
title = {Micro-navigation for urban bus passengers: using the Internet of Things to improve the public transport experience},
author = {Stefan Foell and Gerd Kortuem and Reza Rawassizadeh and Marcus Handte and Muhammad Umer Iqbal and Pedro José Marrón},
year = {2014},
date = {2014-10-01},
booktitle = {First International Conference on IoT in Urban Space (Urb-IoT 2014)},
address = {Rome, Italy},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Stefan Foell, Gregor Schiele, Muhammad Umer Iqbal, Wolfgang Apolinarski, Josiane Xavier Parreira, Pedro José Marrón, Gerd Kortuem: Internet of Things Success Stories #1: The GAMBAS Middleware for Smart City Applications. IERC, 2014. @book{Handte_IOTSUCCESS2014,
title = {Internet of Things Success Stories #1: The GAMBAS Middleware for Smart City Applications},
author = {Marcus Handte and Stefan Foell and Gregor Schiele and Muhammad Umer Iqbal and Wolfgang Apolinarski and Josiane Xavier Parreira and Pedro José Marrón and Gerd Kortuem},
editor = {Phillipe Cousin},
year = {2014},
date = {2014-06-01},
publisher = {IERC},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
|
2013
|
Ngewi Fet, Marcus Handte, Stephan Wagner, Pedro José Marrón: LOCOSmotion: An Acceleration-Assisted Person Tracking System Based on Wireless LAN. In: Chessa, Stefano, Knauth, Stefan (Ed.): Evaluating AAL Systems Through Competitive Benchmarking, vol. 362, pp. 17-31, Springer Berlin Heidelberg, 2013, ISBN: 978-3-642-37418-0. @incollection{fet_locosmotion_ws_2012,
title = {LOCOSmotion: An Acceleration-Assisted Person Tracking System Based on Wireless LAN},
author = {Ngewi Fet and Marcus Handte and Stephan Wagner and Pedro José Marrón},
editor = {Chessa, Stefano and Knauth, Stefan},
url = {http://dx.doi.org/10.1007/978-3-642-37419-7_3},
doi = {10.1007/978-3-642-37419-7_3},
isbn = {978-3-642-37418-0},
year = {2013},
date = {2013-01-01},
booktitle = {Evaluating AAL Systems Through Competitive Benchmarking},
volume = {362},
pages = {17-31},
publisher = {Springer Berlin Heidelberg},
series = {Communications in Computer and Information Science},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
Stephan Wagner, Marcus Handte, Marco Zuniga, Pedro José Marrón: Enhancing the performance of indoor localization using multiple steady tags. In: Pervasive and Mobile Computing, vol. 9, no. 3, pp. 392 - 405, 2013. @article{wagner_pmc,
title = {Enhancing the performance of indoor localization using multiple steady tags},
author = {Stephan Wagner and Marcus Handte and Marco Zuniga and Pedro José Marrón},
year = {2013},
date = {2013-01-01},
journal = {Pervasive and Mobile Computing},
volume = {9},
number = {3},
pages = {392 - 405},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Wolfgang Apolinarski, Marcus Handte, Muhammad Umer Iqbal, Pedro José Marrón: A PIggy-backed Key Exchange using Online Services (PIKE). In: IEEE International Conference on Pervasive Computing and Communications (PERCOM2013) (Demo), San Diego, USA, 2013. @inproceedings{apolinarski_percom2013_demo,
title = {A PIggy-backed Key Exchange using Online Services (PIKE)},
author = {Wolfgang Apolinarski and Marcus Handte and Muhammad Umer Iqbal and Pedro José Marrón},
year = {2013},
date = {2013-03-01},
booktitle = {IEEE International Conference on Pervasive Computing and Communications (PERCOM2013) (Demo)},
address = {San Diego, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wolfgang Apolinarski, Marcus Handte, Muhammad Umer Iqbal, Pedro José Marrón: PIKE: Enabling Secure Interaction with PIggybacked Key-Exchange. In: IEEE International Conference on Pervasive Computing and Communications (PERCOM2013), San Diego, USA, 2013. @inproceedings{apolinarski_percom2013_pike,
title = {PIKE: Enabling Secure Interaction with PIggybacked Key-Exchange},
author = {Wolfgang Apolinarski and Marcus Handte and Muhammad Umer Iqbal and Pedro José Marrón},
year = {2013},
date = {2013-03-01},
booktitle = {IEEE International Conference on Pervasive Computing and Communications (PERCOM2013)},
address = {San Diego, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stephan Wagner, Hugues Smeets, Marcus Handte, Ngewi Fet, Chia-Yen Shih, Pedro José Marrón: Automated Evaluation of RF-based Indoor Localization Systems. In: 4th International Workshop on Networks of Cooperating Objects for Smart Cities 2013 (CONET/UBICITEC 2013), Philadelphia, USA, 2013. @inproceedings{wagner_testbed,
title = {Automated Evaluation of RF-based Indoor Localization Systems},
author = {Stephan Wagner and Hugues Smeets and Marcus Handte and Ngewi Fet and Chia-Yen Shih and Pedro José Marrón},
year = {2013},
date = {2013-04-01},
booktitle = {4th International Workshop on Networks of Cooperating Objects for Smart Cities 2013 (CONET/UBICITEC 2013)},
address = {Philadelphia, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ngewi Fet, Marcus Handte, Pedro José Marrón: A Model for WLAN Signal Attenuation of the Human Body. In: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, Zurich, Switzerland, 2013, ISBN: 978-1-4503-1770-2. @inproceedings{fet_ubicomp2013,
title = {A Model for WLAN Signal Attenuation of the Human Body},
author = {Ngewi Fet and Marcus Handte and Pedro José Marrón},
url = {http://doi.acm.org/10.1145/2493432.2493459},
doi = {10.1145/2493432.2493459},
isbn = {978-1-4503-1770-2},
year = {2013},
date = {2013-09-01},
booktitle = {Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing},
address = {Zurich, Switzerland},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Muhammad Umer Iqbal, Ngewi Fet, Stephan Wagner, Marcus Handte, Pedro José Marrón: Living++: A Platform for Assisted Living Applications. In: HomeSys 2013: Workshop on Design, Technology, Systems and Applications for the Home at UbiComp 2013, Zurich, Switzerland, 2013, ISBN: 978-1-4503-2215-7. @inproceedings{iqbal_homesys2013,
title = {Living++: A Platform for Assisted Living Applications},
author = {Muhammad Umer Iqbal and Ngewi Fet and Stephan Wagner and Marcus Handte and Pedro José Marrón},
url = {http://doi.acm.org/10.1145/2494091.2497327},
doi = {10.1145/2494091.2497327},
isbn = {978-1-4503-2215-7},
year = {2013},
date = {2013-09-01},
booktitle = {HomeSys 2013: Workshop on Design, Technology, Systems and Applications for the Home at UbiComp 2013},
address = {Zurich, Switzerland},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ngewi Fet, Marcus Handte, Stephan Wagner, Pedro José Marrón: Enhancements to the LOCOSmotion Person Tracking System. In: Botía, Juan A., Álvarez-García, Juan Antonio, Fujinami, Kaori, Barsocchi, Paolo, Riedel, Till (Ed.): Evaluating AAL Systems Through Competitive Benchmarking, vol. 386, pp. 72-82, Springer Berlin Heidelberg, 2013, ISBN: 978-3-642-41042-0. @incollection{fet_locosmotion_enhancements2013,
title = {Enhancements to the LOCOSmotion Person Tracking System},
author = {Ngewi Fet and Marcus Handte and Stephan Wagner and Pedro José Marrón},
editor = {Botía, Juan A. and Álvarez-García, Juan Antonio and Fujinami, Kaori and Barsocchi, Paolo and Riedel, Till},
url = {http://dx.doi.org/10.1007/978-3-642-41043-7_7},
doi = {10.1007/978-3-642-41043-7_7},
isbn = {978-3-642-41042-0},
year = {2013},
date = {2013-01-01},
booktitle = {Evaluating AAL Systems Through Competitive Benchmarking},
volume = {386},
pages = {72-82},
publisher = {Springer Berlin Heidelberg},
series = {Communications in Computer and Information Science},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
2012
|
Yehya Mohamad, Henrike Gappa, Jaroslav Pullmann, Gaby Nordbrock, Carlos Velasco, Marcus Handte, Stephan Wagner, Marcel Schweda: Context-aware support for people with dementia and their families. In: Deutscher AAL-Kongress 2012 (Technik für ein selbstbestimmtes Leben), Berlin, Germany, 2012. @inproceedings{wagner_AAL2011,
title = {Context-aware support for people with dementia and their families},
author = {Yehya Mohamad and Henrike Gappa and Jaroslav Pullmann and Gaby Nordbrock and Carlos Velasco and Marcus Handte and Stephan Wagner and Marcel Schweda},
year = {2012},
date = {2012-00-01},
booktitle = {Deutscher AAL-Kongress 2012 (Technik für ein selbstbestimmtes Leben)},
address = {Berlin, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Muhammad Umer Iqbal, Marcus Handte, Stephan Wagner, Wolfgang Apolinarski, Pedro José Marrón: Configuration Folding: An Energy Efficient Technique for Context Recognition. In: IEEE International Conference on Pervasive Computing and Communications (PERCOM2012) (Demo), Lugano, Switzerland, 2012. @inproceedings{iqbal_percom2012_demo,
title = {Configuration Folding: An Energy Efficient Technique for Context Recognition},
author = {Muhammad Umer Iqbal and Marcus Handte and Stephan Wagner and Wolfgang Apolinarski and Pedro José Marrón},
year = {2012},
date = {2012-03-01},
booktitle = {IEEE International Conference on Pervasive Computing and Communications (PERCOM2012) (Demo)},
address = {Lugano, Switzerland},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Muhammad Umer Iqbal, Marcus Handte, Stephan Wagner, Wolfgang Apolinarski, Pedro José Marrón: Enabling Energy-Efficient Context Recognition with Configuration Folding. In: IEEE International Conference on Pervasive Computing and Communications (PERCOM2012), Lugano, Switzerland, 2012. @inproceedings{iqbal_percom2012_folding,
title = {Enabling Energy-Efficient Context Recognition with Configuration Folding},
author = {Muhammad Umer Iqbal and Marcus Handte and Stephan Wagner and Wolfgang Apolinarski and Pedro José Marrón},
year = {2012},
date = {2012-03-01},
booktitle = {IEEE International Conference on Pervasive Computing and Communications (PERCOM2012)},
address = {Lugano, Switzerland},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stephan Wagner, Marcus Handte, Marco Zuniga, Pedro José Marrón: On Optimal Tag Placement for Indoor Localization. In: IEEE International Conference on Pervasive Computing and Communications (PERCOM2012), Lugano, Switzerland, 2012. @inproceedings{wagner_percom2012,
title = {On Optimal Tag Placement for Indoor Localization},
author = {Stephan Wagner and Marcus Handte and Marco Zuniga and Pedro José Marrón},
year = {2012},
date = {2012-03-01},
booktitle = {IEEE International Conference on Pervasive Computing and Communications (PERCOM2012)},
address = {Lugano, Switzerland},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Stephan Wagner, Wolfgang Apolinarski, Pedro José Marrón: iScreen: A Toolkit for Interactive Screens. In: International Symposium on Pervasive Displays (ISPD2012), Porto, Portugal, 2012. @inproceedings{handte_ispd2012,
title = {iScreen: A Toolkit for Interactive Screens},
author = {Marcus Handte and Stephan Wagner and Wolfgang Apolinarski and Pedro José Marrón},
year = {2012},
date = {2012-06-01},
booktitle = {International Symposium on Pervasive Displays (ISPD2012)},
address = {Porto, Portugal},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wolfgang Apolinarski, Marcus Handte, Pedro José Marrón: An Approach for Secure Role Assignment. In: Proceedings of the 8th International Conference on Intelligent Environments (IE'12), Guanajuato, Mexico, 2012. @inproceedings{apolinar_ie2012,
title = {An Approach for Secure Role Assignment},
author = {Wolfgang Apolinarski and Marcus Handte and Pedro José Marrón},
year = {2012},
date = {2012-06-01},
booktitle = {Proceedings of the 8th International Conference on Intelligent Environments (IE'12)},
address = {Guanajuato, Mexico},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Gregor Schiele, Verena Matjuntke, Christian Becker, Pedro José Marrón: 3PC: System support for Adaptive Peer-to-peer Pervasive Computing. In: ACM Transactions on Autonomous and Adaptive Systems, vol. 7, no. 1, pp. 10:1–10:19, 2012, ISSN: 1556-4665. @article{handte_taas,
title = {3PC: System support for Adaptive Peer-to-peer Pervasive Computing},
author = {Marcus Handte and Gregor Schiele and Verena Matjuntke and Christian Becker and Pedro José Marrón},
issn = {1556-4665},
year = {2012},
date = {2012-01-01},
journal = {ACM Transactions on Autonomous and Adaptive Systems},
volume = {7},
number = {1},
pages = {10:1--10:19},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2011
|
Stamatis Karnouskos, Vladimir Vilasenor--Herrera, Muhammad Haroon, Marcus Handte, Pedro José Marrón: Requirement Considerations for Ubiquitous Integration of Cooperating Objects. In: 4th IFIP International Conference on New Technologies, Mobility and Security, Paris, France, 2011. @inproceedings{uico2011,
title = {Requirement Considerations for Ubiquitous Integration of Cooperating Objects},
author = {Stamatis Karnouskos and Vladimir Vilasenor--Herrera and Muhammad Haroon and Marcus Handte and Pedro José Marrón},
year = {2011},
date = {2011-02-01},
booktitle = {4th IFIP International Conference on New Technologies, Mobility and Security},
address = {Paris, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wolfgang Apolinarski, Marcus Handte, Pedro José Marrón: Supporting Environment Configuration with Generic Role Assignment. In: Proceedings of the 7th International Conference on Intelligent Environments (IE'11), Nottingham, United Kingdom, 2011. @inproceedings{ie2011,
title = {Supporting Environment Configuration with Generic Role Assignment},
author = {Wolfgang Apolinarski and Marcus Handte and Pedro José Marrón},
year = {2011},
date = {2011-07-01},
booktitle = {Proceedings of the 7th International Conference on Intelligent Environments (IE'11)},
address = {Nottingham, United Kingdom},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wolfgang Apolinarski, Marcus Handte, Pedro José Marrón: Context-dependent Smart Space Formation in PECES. In: GI/ITG KuVS-Fachgespräch "Verteilte Systeme in Smart Spaces", Darmstadt, Germany, 2011. @inproceedings{KUVS2011,
title = {Context-dependent Smart Space Formation in PECES},
author = {Wolfgang Apolinarski and Marcus Handte and Pedro José Marrón},
year = {2011},
date = {2011-07-01},
booktitle = {GI/ITG KuVS-Fachgespräch "Verteilte Systeme in Smart Spaces"},
address = {Darmstadt, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wolfgang Apolinarski, Marcus Handte, Danh Le Phuoc, Pedro José Marrón: A Peer-Based Approach to Privacy-Preserving Context Management. In: Proceedings of the 7th International and Interdisciplinary Conference on Modeling and Using Context 2011 (CONTEXT'11), 2011. @inproceedings{CONTEXT2011,
title = {A Peer-Based Approach to Privacy-Preserving Context Management},
author = {Wolfgang Apolinarski and Marcus Handte and Danh Le Phuoc and Pedro José Marrón},
year = {2011},
date = {2011-09-01},
booktitle = {Proceedings of the 7th International and Interdisciplinary Conference on Modeling and Using Context 2011 (CONTEXT'11)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stamatis Karnouskos, Vladimir Villasenor, Marcus Handte, Pedro José Marrón: Ubiquitous Integration of Cooperating Objects. In: International Journal of Next-Generation Computing, vol. 2, no. 3, 2011. @article{handte_ijngc2011,
title = {Ubiquitous Integration of Cooperating Objects},
author = {Stamatis Karnouskos and Vladimir Villasenor and Marcus Handte and Pedro José Marrón},
year = {2011},
date = {2011-11-01},
journal = {International Journal of Next-Generation Computing},
volume = {2},
number = {3},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2010
|
Wolfgang Apolinarski, Marcus Handte, Pedro José Marrón: A Secure Context Distribution Framework for Peer-based Pervasive Systems. In: Proceedings of PerWare Workshop at the 8th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2010), 2010. @inproceedings{Apolinarski_PERCOM2009,
title = {A Secure Context Distribution Framework for Peer-based Pervasive Systems},
author = {Wolfgang Apolinarski and Marcus Handte and Pedro José Marrón},
year = {2010},
date = {2010-03-01},
booktitle = {Proceedings of PerWare Workshop at the 8th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2010)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gregor Schiele, Marcus Handte, Christian Becker: Pervasive Computing Middleware (Chapter in Handbook of Ambient Intelligence and Smart Environments). Springer, 2010. @book{Schiele_AISE2010,
title = {Pervasive Computing Middleware (Chapter in Handbook of Ambient Intelligence and Smart Environments)},
author = {Gregor Schiele and Marcus Handte and Christian Becker},
year = {2010},
date = {2010-01-01},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
|
Marcus Handte, Muhammad Umer Iqbal, Wolfgang Apolinarski, Stephan Wagner, Pedro José Marrón: The NARF Architecture for Generic Personal Context Recognition. In: Third IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC 2010), 2010. @inproceedings{Handte_SUTC2010,
title = {The NARF Architecture for Generic Personal Context Recognition},
author = {Marcus Handte and Muhammad Umer Iqbal and Wolfgang Apolinarski and Stephan Wagner and Pedro José Marrón},
year = {2010},
date = {2010-06-01},
booktitle = {Third IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC 2010)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verena Majuntke, Gregor Schiele, Kai Spohrer, Marcus Handte, Christian Becker: A Coordination Framework for Pervasive Applications in Multi-User Environments. In: 6th International Conference on Intelligent Environments (IE 2010), 2010. @inproceedings{Majuntke_IE2010,
title = {A Coordination Framework for Pervasive Applications in Multi-User Environments},
author = {Verena Majuntke and Gregor Schiele and Kai Spohrer and Marcus Handte and Christian Becker},
year = {2010},
date = {2010-07-01},
booktitle = {6th International Conference on Intelligent Environments (IE 2010)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Stephan Wagner, Gregor Schiele, Christian Becker, Pedro José Marrón: The BASE Plug-in Architecture - Composable Communication Support for Pervasive Systems. In: 7th ACM International Conference on Pervasive Services, Newport Beach, CA, USA, 2010. @inproceedings{Handte_ICPS2010,
title = {The BASE Plug-in Architecture - Composable Communication Support for Pervasive Systems},
author = {Marcus Handte and Stephan Wagner and Gregor Schiele and Christian Becker and Pedro José Marrón},
year = {2010},
date = {2010-07-01},
booktitle = {7th ACM International Conference on Pervasive Services},
address = {Newport Beach, CA, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Muhammad Umer Iqbal, Wolfgang Apolinarski, Pedro José Marrón: Challenges in Ubiquitous Context Recognition with Personal Mobile Devices. In: 4th ACM International Workshop on Context-Awareness for Self-Managing Systems (CASEMANS 2010), Copenhagen, Denmark, 2010. @inproceedings{Handte_CASEMANS2010,
title = {Challenges in Ubiquitous Context Recognition with Personal Mobile Devices},
author = {Marcus Handte and Muhammad Umer Iqbal and Wolfgang Apolinarski and Pedro José Marrón},
year = {2010},
date = {2010-09-01},
booktitle = {4th ACM International Workshop on Context-Awareness for Self-Managing Systems (CASEMANS 2010)},
address = {Copenhagen, Denmark},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Daniel Minder, Marcus Handte, Pedro José Marrón: TinyAdapt: An Adaptation Framework for Sensor Networks. In: Proceedings of the 7th International Conference on Networked Sensing Systems (INSS 2010), pp. 253–256, Kassel, Germany, 2010. @inproceedings{minder_inss2010,
title = {TinyAdapt: An Adaptation Framework for Sensor Networks},
author = {Daniel Minder and Marcus Handte and Pedro José Marrón},
doi = {10.1109/INSS.2010.5572218},
year = {2010},
date = {2010-06-01},
booktitle = {Proceedings of the 7th International Conference on Networked Sensing Systems (INSS 2010)},
pages = {253--256},
address = {Kassel, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gregor Schiele, Marcus Handte, Christian Becker: Pervasive Computing Middleware. In: Handbook of Ambient Intelligence and Smart Environments (AISE), Springer Publishing Company, Incorporated, 2010. @inproceedings{Schiele_AISE2010b,
title = {Pervasive Computing Middleware},
author = {Gregor Schiele and Marcus Handte and Christian Becker},
year = {2010},
date = {2010-01-01},
booktitle = {Handbook of Ambient Intelligence and Smart Environments (AISE)},
publisher = {Springer Publishing Company, Incorporated},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2009
|
Muhammad Haroon, Marcus Handte, Pedro José Marrón: Generic Role Assignment: A Uniform Middleware
Abstraction for Configuration of Pervasive Systems. In: Proceedings of PerWare Workshop at the Seventh Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2009), 2009. @inproceedings{Haroon_PERCOM2009,
title = {Generic Role Assignment: A Uniform Middleware
Abstraction for Configuration of Pervasive Systems},
author = {Muhammad Haroon and Marcus Handte and Pedro José Marrón},
year = {2009},
date = {2009-03-01},
booktitle = {Proceedings of PerWare Workshop at the Seventh Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2009)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Muhammad Haroon, Wolfgang Apolinarski, Pedro José Marrón, Vinny Reynolds, Danh Le Phuoc, Manfred Hauswirth: PECES Middleware Challenges - On Building the Bridge between Islands of Integration. In: Pervasive Computing and Cooperative Environments in a Global Context Workshop at Echallenges, 2009. @inproceedings{Handte_ECHALLENGES2009,
title = {PECES Middleware Challenges - On Building the Bridge between Islands of Integration},
author = {Marcus Handte and Muhammad Haroon and Wolfgang Apolinarski and Pedro José Marrón and Vinny Reynolds and Danh Le Phuoc and Manfred Hauswirth},
year = {2009},
date = {2009-10-01},
booktitle = {Pervasive Computing and Cooperative Environments in a Global Context Workshop at Echallenges},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Danh Le Phuoc, Vinny Reynolds, Manfred Hauswirth, Muhammad Haroon, Pedro José Marrón, Marcus Handte: Context Ontologies - Enabling the Interaction of Embedded Devices in Heterogeneous Smart Spaces. In: Pervasive Computing and Cooperative Environments in a Global Context Workshop at Echallenges, 2009. @inproceedings{LePhuoc_ECHALLENGES2009,
title = {Context Ontologies - Enabling the Interaction of Embedded Devices in Heterogeneous Smart Spaces},
author = {Danh Le Phuoc and Vinny Reynolds and Manfred Hauswirth and Muhammad Haroon and Pedro José Marrón and Marcus Handte},
year = {2009},
date = {2009-10-01},
booktitle = {Pervasive Computing and Cooperative Environments in a Global Context Workshop at Echallenges},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Chia-Yen Shih, Marcus Handte, Pedro José Marrón: Real-Time Context Activity Scheduling For Smart Spaces. In: 2nd IEEE International Conference on Pervasive Computing and Applications (ICPCA '09), 2009. @inproceedings{Shih_ICPCA2009,
title = {Real-Time Context Activity Scheduling For Smart Spaces},
author = {Chia-Yen Shih and Marcus Handte and Pedro José Marrón},
year = {2009},
date = {2009-01-01},
booktitle = {2nd IEEE International Conference on Pervasive Computing and Applications (ICPCA '09)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2008
|
Matthias Gauger, Pedro José Marrón, Marcus Handte, Olga Saukh, Daniel Minder, Andreas Lachenmann, Kurt Rothermel: Integrating Sensor Networks in Pervasive Computing Environments Using
Symbolic Coordinates. In: Proceedings of the Third International Conference on Communication
System Software and Middleware (COMSWARE 2008), 2008. @inproceedings{Gauger_COMSWARE2008,
title = {Integrating Sensor Networks in Pervasive Computing Environments Using
Symbolic Coordinates},
author = {Matthias Gauger and Pedro José Marrón and Marcus Handte and Olga Saukh and Daniel Minder and Andreas Lachenmann and Kurt Rothermel},
doi = {10.1109/COMSWA.2008.4554476},
year = {2008},
date = {2008-01-01},
booktitle = {Proceedings of the Third International Conference on Communication
System Software and Middleware (COMSWARE 2008)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Matthias Gauger, Olga Saukh, Marcus Handte, Pedro José Marrón, Andreas Heydlauff, Kurt Rothermel: Sensor-based Clustering for Indoor Applications. In: Proceedings of the European Conference on Wireless Sensor Networks
(EWSN 2008), Poster/Demo session, 2008. @inproceedings{Gauger_EWSN2008,
title = {Sensor-based Clustering for Indoor Applications},
author = {Matthias Gauger and Olga Saukh and Marcus Handte and Pedro José Marrón and Andreas Heydlauff and Kurt Rothermel},
year = {2008},
date = {2008-02-01},
booktitle = {Proceedings of the European Conference on Wireless Sensor Networks
(EWSN 2008), Poster/Demo session},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Matthias Gauger, Olga Saukh, Marcus Handte, Pedro José Marrón, Andreas Heydlauff, Kurt Rothermel: Sensor-based Clustering for Indoor Applications. In: Proceedings of the 5th IEEE Communications Society Conference on
Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2008), 2008. @inproceedings{Gauger_SECON2008,
title = {Sensor-based Clustering for Indoor Applications},
author = {Matthias Gauger and Olga Saukh and Marcus Handte and Pedro José Marrón and Andreas Heydlauff and Kurt Rothermel},
doi = {10.1109/SAHCN.2008.64},
year = {2008},
date = {2008-06-01},
booktitle = {Proceedings of the 5th IEEE Communications Society Conference on
Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2008)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gregor Schiele, Marcus Handte, Christian Becker: Experiences in Designing an Energy-Aware Middleware for Pervasive Computing. In: PerWare Workshop at the 6th IEEE International Conference on Pervasive Computing and Communications (PerCom 08), Hong Kong, China, 2008. @inproceedings{Schiele_Perware2008,
title = {Experiences in Designing an Energy-Aware Middleware for Pervasive Computing},
author = {Gregor Schiele and Marcus Handte and Christian Becker},
year = {2008},
date = {2008-03-01},
booktitle = {PerWare Workshop at the 6th IEEE International Conference on Pervasive Computing and Communications (PerCom 08)},
address = {Hong Kong, China},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2007
|
Gregor Schiele, Marcus Handte, Christian Becker: Good Manners for Pervasive Applications - An Approach Based on the Ambient Calculus. In: WIP Track, International Conference on Pervasive Computing and Communications (PERCOM) 2007, New York, USA, 2007. @inproceedings{Schiele_Percom2007,
title = {Good Manners for Pervasive Applications - An Approach Based on the Ambient Calculus},
author = {Gregor Schiele and Marcus Handte and Christian Becker},
year = {2007},
date = {2007-03-01},
booktitle = {WIP Track, International Conference on Pervasive Computing and Communications (PERCOM) 2007},
address = {New York, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Klaus Herrmann, Gregor Schiele, Christian Becker, Kurt Rothermel: Automatic Reactive Adaptation of Pervasive Applications. In: IEEE International Conference on Pervasive Services (ICPS), 2007, 2007. @inproceedings{Handte_ICPS2007,
title = {Automatic Reactive Adaptation of Pervasive Applications},
author = {Marcus Handte and Klaus Herrmann and Gregor Schiele and Christian Becker and Kurt Rothermel},
year = {2007},
date = {2007-07-01},
booktitle = {IEEE International Conference on Pervasive Services (ICPS)},
address = {2007},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Klaus Herrmann, Gregor Schiele, Christian Becker: Supporting Pluggable Configuration Algorithms in PCOM. In: Middleware Support for Pervasive Computing Workshop (PERWARE), International Conference on Pervasive Computing and Communications (PERCOM) 2007, New York, USA, 2007. @inproceedings{Handte_Perware2007,
title = {Supporting Pluggable Configuration Algorithms in PCOM},
author = {Marcus Handte and Klaus Herrmann and Gregor Schiele and Christian Becker},
year = {2007},
date = {2007-03-01},
booktitle = {Middleware Support for Pervasive Computing Workshop (PERWARE), International Conference on Pervasive Computing and Communications (PERCOM) 2007},
address = {New York, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2006
|
Matthias Gauger, Pedro José Marrón, Marcus Handte, Kurt Rothermel: Routing in Sensor Networks based on Symbolic Coordinates. In: Proceedings of the 5th GI/ITG KuVS Fachgespräch Drahtlose Sensornetze,
Technical Report 2006/07, Universität Stuttgart, 2006. @inproceedings{Gauger_FGSN2006,
title = {Routing in Sensor Networks based on Symbolic Coordinates},
author = {Matthias Gauger and Pedro José Marrón and Marcus Handte and Kurt Rothermel},
year = {2006},
date = {2006-07-01},
booktitle = {Proceedings of the 5th GI/ITG KuVS Fachgespräch Drahtlose Sensornetze,
Technical Report 2006/07, Universität Stuttgart},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stephan Urbanski, Marcus Handte, Gregor Schiele, Kurt Rothermel: Experience using Processes for Pervasive Applications. In: Pervasive University Workshop, Informatik 2006, Dresden, Germany, 2006. @inproceedings{Urbanski_Informatik2006,
title = {Experience using Processes for Pervasive Applications},
author = {Stephan Urbanski and Marcus Handte and Gregor Schiele and Kurt Rothermel},
year = {2006},
date = {2006-10-01},
booktitle = {Pervasive University Workshop, Informatik 2006},
address = {Dresden, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Torben Weis, Marcus Handte, Mirko Knoll, Christian Becker: Customizable Pervasive Applications. In: International Conference on Pervasive Computing and Communications (PERCOM) 2006, Pisa, Italy, 2006. @inproceedings{Weis_Percom2006,
title = {Customizable Pervasive Applications},
author = {Torben Weis and Marcus Handte and Mirko Knoll and Christian Becker},
year = {2006},
date = {2006-03-01},
booktitle = {International Conference on Pervasive Computing and Communications (PERCOM) 2006},
address = {Pisa, Italy},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Stephan Urbanski, Christian Becker, Patrick Reinhard, Michael Engel, Matthew Smith: 3PC/MarNET Pervasive Presenter. In: International Conference on Pervasive Computing and Communications (PERCOM) Demos 2006, Pisa, Italy, 2006. @inproceedings{Handte_Percom2006,
title = {3PC/MarNET Pervasive Presenter},
author = {Marcus Handte and Stephan Urbanski and Christian Becker and Patrick Reinhard and Michael Engel and Matthew Smith},
year = {2006},
date = {2006-03-01},
booktitle = {International Conference on Pervasive Computing and Communications (PERCOM) Demos 2006},
address = {Pisa, Italy},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2005
|
Eli Tilevich, Yannis Smaragdakis, Marcus Handte: Appletizing: Running Legacy Java Code Remotely From a Web Browser. In: International Conference on Software Maintenance (ICSM) 2005, Budapest, Hungary, 2005. @inproceedings{Tilevich_ICSM2005,
title = {Appletizing: Running Legacy Java Code Remotely From a Web Browser},
author = {Eli Tilevich and Yannis Smaragdakis and Marcus Handte},
year = {2005},
date = {2005-09-01},
booktitle = {International Conference on Software Maintenance (ICSM) 2005},
address = {Budapest, Hungary},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Christian Becker, Kurt Rothermel: Peer-based Automatic Configuration of Pervasive Applications. In: International Conference on Pervasive Services (ICPS) 2005, Santorini, Greece, 2005. @inproceedings{Handte_ICPS2005,
title = {Peer-based Automatic Configuration of Pervasive Applications},
author = {Marcus Handte and Christian Becker and Kurt Rothermel},
year = {2005},
date = {2005-07-01},
booktitle = {International Conference on Pervasive Services (ICPS) 2005},
address = {Santorini, Greece},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcus Handte, Gregor Schiele, Stephan Urbanski, Christian Becker: Adaptation Support for Stateful Components in PCOM. In: Workshop on Software Architectures for Self-Organization: Beyond Ad-Hoc Networking at Pervasive 2005, Munich, Germany, 2005. @inproceedings{Handte_Pervasive2005,
title = {Adaptation Support for Stateful Components in PCOM},
author = {Marcus Handte and Gregor Schiele and Stephan Urbanski and Christian Becker},
year = {2005},
date = {2005-05-01},
booktitle = {Workshop on Software Architectures for Self-Organization: Beyond Ad-Hoc Networking at Pervasive 2005},
address = {Munich, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Kurt Rothermel, Marcus Handte, Christian Becker: Peer-based Automatic Configuration of Pervasive Applications (Extended). In: Journal on Pervasive Computing and Communications, vol. 1, no. 4, pp. 251–264, 2005. @article{Handte_JPCC2005,
title = {Peer-based Automatic Configuration of Pervasive Applications (Extended)},
author = {Kurt Rothermel and Marcus Handte and Christian Becker},
year = {2005},
date = {2005-12-01},
journal = {Journal on Pervasive Computing and Communications},
volume = {1},
number = {4},
pages = {251--264},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2004
|
Christian Becker, Marcus Handte, Gregor Schiele, Pedro José Marrón: 3PC - Peer to Peer Pervasive Computing. In: GI FG-Treffen Betriebssysteme, Ulm, Germany, 2004. @inproceedings{Becker_GI2004,
title = {3PC - Peer to Peer Pervasive Computing},
author = {Christian Becker and Marcus Handte and Gregor Schiele and Pedro José Marrón},
year = {2004},
date = {2004-03-01},
booktitle = {GI FG-Treffen Betriebssysteme},
address = {Ulm, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Christian Becker, Marcus Handte, Gregor Schiele: PCOM - A Component System for Pervasive Computing. In: International Conference on Pervasive Computing and Communications (PERCOM) 2004, Orlando, USA, 2004. @inproceedings{Becker_Percom2004,
title = {PCOM - A Component System for Pervasive Computing},
author = {Christian Becker and Marcus Handte and Gregor Schiele},
year = {2004},
date = {2004-03-01},
booktitle = {International Conference on Pervasive Computing and Communications (PERCOM) 2004},
address = {Orlando, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2003
|
Marcus Handte, Christian Becker, Gregor Schiele: Experiences - Extensibility and Flexibility in BASE. In: Workshop on System Support for Ubiquitous Computing (UbiSys) at Ubicomp 2003, Seattle, USA, 2003. @inproceedings{Handte_Ubicomp2003,
title = {Experiences - Extensibility and Flexibility in BASE},
author = {Marcus Handte and Christian Becker and Gregor Schiele},
year = {2003},
date = {2003-10-01},
booktitle = {Workshop on System Support for Ubiquitous Computing (UbiSys) at Ubicomp 2003},
address = {Seattle, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Christoph Csallner, Marcus Handte, Othmar Lehmann, John Stasko: FundExplorer: Supporting the Diversification of Mutual Fund Portfolios Using Context Treemaps. In: IEEE Symposium on Information Visualization, Seattle, USA, 2003. @inproceedings{Csallner_Infovis2003,
title = {FundExplorer: Supporting the Diversification of Mutual Fund Portfolios Using Context Treemaps},
author = {Christoph Csallner and Marcus Handte and Othmar Lehmann and John Stasko},
year = {2003},
date = {2003-10-01},
booktitle = {IEEE Symposium on Information Visualization},
address = {Seattle, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
