Contact
Name | Marcus Handte |
---|---|
Position | Senior Researcher |
Phone | +49 176 63309480 |
Fax | +49-201-183-4176 |
marcus.handte@uni-due.de | |
Address | Schützenbahn 70 Building SA 45127 Essen |
Room | SA-121 |
Education
- 2013 – Habilitation in Computer Science from Universität Duisburg-Essen (Topic: A Framework for Context-aware Applications)
- 2009 – PhD in Natural Sciences from Universität Stuttgart (Topic: System-support for Adaptive Pervasive Applications)
- 2003 – Diplom in Computer Science from Universität Stuttgart (Specializations: Software Engineering, Distributed Systems)
- 2002 – Master of Science in Computer Science from Georgia Institute of Technology in Atlanta (Specialization: Programming Languages)
- 1997 – Abitur from Albert-Schäffle-Schule in Nürtingen (Specializations: Mathematics, Business Administration)
Employments
- Since 11.2012 LocosLab GmbH, Consultant, Developer, and Co-Founder
- Since 11.2009 Universität Duisburg-Essen, Senior Researcher (Networked Embedded Systems)
- 08.2007–10.2009 Fraunhofer IAIS, Researcher and Project Leader (Cooperating Objects)
- 08.2003–07.2007 Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Researcher (Distributed Systems)
- 01.2002–07.2002 Georgia Institute of Technology, Research Assistant (Programming Languages)
- 09.2002–12.2002 T-Systems GEI GmbH, Intern, (Software Consulting)
- 07.2000–12.2000 debis Systemhaus MEB GmbH, Freelance Software Developer (Product Development)
Projects
- MOBYDEX (BMDV, MFUND) – Multimodal Mobility Index
- ATMo2 (VM NRW) – Incentive-based Transformation and Modelling of Mobility Behavior
- MOIN (BMVI, MFUND) – A Nationwide Mobility Index
- INNAMORUHR (VM NRW) – Integrated and sustainable mobility for Ruhr
- TALAKO (BMWI) – Inductive taxi charging concept for public spaces
- SMATA (BMVI, MFUND) – Smart platform for the data-driven networking of taxi and charging operations
- FAIR (BMVI, MFUND) – A user-friendly provisioning of climate and weather data
- SIMON (FP7, CIP) – Assisted Mobility for Older and Impaired Users
- GAMBAS (FP7, STREP) – Adaptive Data Acquisition, Privacy-preserving Sharing
- LIVING++ (BMWi, EraSME) – Automatic Activity Recognition, Communication
- WEBDA (BMBF, AAL) – RFID-based Object Localization and Person Tracking
- PECES (FP7, STREP) – Secure Communication, Trustworhty Context Management
- 3PC (DFG, SP1140) – Peer-based Communication and Distributed Application Configuration
Teaching
- Lecture: Net-based Applications, Universität Stuttgart, WT06/07
- Lab: Intelligent and Interactive Screens, Universität Bonn, ST08, ST09
- Lab: Web-Development with Typo3, Universität Bonn, WT07/08
- Lab: Distributed Application Development with Enterprise Java Beans, Universität Stuttgart, ST05, WT05/06
- Exercise: High Performance Networking, Universität Bonn, ST09
- Seminar: Pervasive Computing/Sensor Networks, Universität Bonn, WT07/08, ST08, WT08/09, ST09
- Lab: Microcomputer Systems, Universität Duisburg-Essen, WT09/10, ST10
- Lab: Computer Architecture, Universität Duisburg-Essen, WT10/11, WT11/12, WT12/13, WT13/14
- Project: Context Recognition with Mobile Devices, Universität Duisburg-Essen, WT09/10, ST10, WT10/11, ST11, WT11/12, ST12, WT12/13, ST13, WT13/14, WT14/15
- Project: Context Prediction, Universität Duisburg-Essen, WT13/14
- Project: Indoor Localization, Universität Duisburg-Essen, WT13/14
- Project: Augmented Reality Navigation, Universität Duisburg-Essen, ST16, ST17
- Project: Remote Rendering of Geospatial Data, Universität Duisburg-Essen, ST16/17
- Seminar: Context Recognition, Universität Duisburg-Essen, WT09/10, ST10, WT10/11, ST11, WT11/12, ST12, WT12/13, ST13, WT13/14, WT14/15, WT15/16, ST16, WT16/17
- Case Study: Location-based Services, Universität Duisburg-Essen, ST14, ST15, ST16, ST17, ST18
- Lecture: Pervasive Computing, WT15/16, WT16/17, WT17/18, WT18/19, ST19, ST20
- Project Group: Location-based Services, WT17/18
- Exercises: Programming Java, ST18, ST19, ST20
- Exercises: Programming C/C++, WT18/19, WT19/20
- Project: Android-based Robot Control, ST19
- Project Group: Crowd Sourcing of Temperature Data, WT19/20
Bachelor Theses
- Gathering and Matching of User Information Derived from Social Networks, March 2010
- A System for Inertia-based Distance Estimation using Mobile Phones, July 2012
- A System for Detecting the On-Body Placement of Mobile Phones, July 2012
- An Android-based Board Game with Board Recognition, October 2012
- A Visualization Tool for Localization Data, January 2013
- A System for the Recognition of the Mode of Transportation using Mobile Phones, January 2013
- A System for Audio-based Distributed Speaker Detection, May 2013
- A BASE Extension for Spontaneous Device Interaction using Wi-Fi Direct, July 2013
- A Framework for the Derivation of and Conflict Detection in Generic Privacy Policies from Social Networks, February 2014
- System Support for Offline Maps on Android Devices, August 2014
- A Smartphone-based Recognition System for Speed Limit Signs, August 2015
Master Theses
- A Component System for Resource-efficient Context Recognition, August 2010
- An Adaptive Protocol for Resource-efficient Data Synchronization, March 2012
- Reference-based Indoor Localization using Passive RFID Technology, April 2012
- Design and Evaluation of a Multi-modal Presence Detection System, May 2013
- An Accurate Passive WLAN-based Localization System, November 2014
- Automatic Detection of WLAN Signal Propagation Changes, January 2015
- Robust Localization of Objects using Passive RFID, March 2015
- An Extensible Engine for Adaptive Transit Routing, April 2015
- Precise Person Tracking with Active RFID, April 2015
Publications
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. (Type: Journal Article | Abstract | Links)@article{shahbaznejad_2024, 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. |
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. (Type: Proceedings Article | Abstract | Links)@inproceedings{talako-book-chapter, 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. (Type: Proceedings Article | Abstract | Links)@inproceedings{mosavat2023experience, 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. (Type: Proceedings Article | Abstract | Links)@inproceedings{10.1145/3608143.3608147, 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. (Type: Proceedings Article | Abstract | Links)@inproceedings{10.1145/3603765.3603774, 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. (Type: Proceedings Article | Links)@inproceedings{10.5220/0012263100003598, |
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). (Type: Proceedings Article | Links)@inproceedings{10.5220/0012156200003598, |
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. (Type: Proceedings Article | Abstract)@inproceedings{fod_wc, 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. (Type: Proceedings Article | Abstract)@inproceedings{limit_pnp, 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. |
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. (Type: Proceedings Article | Abstract | Links)@inproceedings{nokey, 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. (Type: Book Chapter | Abstract | Links)@inbook{Handte2022, 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. (Type: Proceedings Article | Abstract | Links)@inproceedings{epic, 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. (Type: Proceedings Article | Abstract | Links)@inproceedings{guild, 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. (Type: Journal Article | Abstract | Links)@article{nokey, 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. (Type: Proceedings Article | Abstract | Links)@inproceedings{car-pose-estimation, 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. (Type: Proceedings Article | Links)@inproceedings{10.1007/978-3-030-90439-5_15, |
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. (Type: Journal Article | Links)@article{asr-17-183-2020, |
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. (Type: Proceedings Article | Abstract | Links)@inproceedings{image-processing-pipeline-optimization, 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. (Type: Proceedings Article | Abstract | Links)@inproceedings{driver-guidance-system, 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. (Type: Proceedings Article | Abstract | Links)@inproceedings{9287891, 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. (Type: Presentation | Abstract | Links)@misc{Figura2019b, 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. (Type: Book | Links)@book{handter, |
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. (Type: Proceedings Article | )@inproceedings{Brockmann2018, |
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. (Type: Proceedings Article | )@inproceedings{brockmann_ie18, |
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. (Type: Journal Article | )@article{fet2017autonomous, |
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. (Type: Proceedings Article | )@inproceedings{fet_ipin_2017, |
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. (Type: Proceedings Article | )@inproceedings{wagner_ie_2017, |
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. (Type: Proceedings Article | )@inproceedings{Fet2016Calibration, |
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. (Type: Proceedings Article | )@inproceedings{Brockmann2016Speed, |
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. (Type: Proceedings Article | Links)@inproceedings{handtejiot2016, |
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. (Type: Proceedings Article | )@inproceedings{iqbal_2015, |
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. (Type: Proceedings Article | )@inproceedings{Apolinarski2015, |
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)). (Type: Journal Article | Links)@article{Apolinarski201422, |
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. (Type: Proceedings Article | )@inproceedings{Handte_MUD2014, |
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. (Type: Proceedings Article | )@inproceedings{Foell_URBIOT2014, |
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. (Type: Book | )@book{Handte_IOTSUCCESS2014, |
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. (Type: Book Section | Links)@incollection{fet_locosmotion_ws_2012, |
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. (Type: Journal Article | )@article{wagner_pmc, |
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. (Type: Proceedings Article | )@inproceedings{apolinarski_percom2013_demo, |
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. (Type: Proceedings Article | )@inproceedings{apolinarski_percom2013_pike, |
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. (Type: Proceedings Article | )@inproceedings{wagner_testbed, |
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. (Type: Proceedings Article | Links)@inproceedings{fet_ubicomp2013, |
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. (Type: Proceedings Article | Links)@inproceedings{iqbal_homesys2013, |
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. (Type: Book Section | Links)@incollection{fet_locosmotion_enhancements2013, |
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. (Type: Proceedings Article | )@inproceedings{wagner_AAL2011, |
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. (Type: Proceedings Article | )@inproceedings{iqbal_percom2012_demo, |
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. (Type: Proceedings Article | )@inproceedings{iqbal_percom2012_folding, |
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. (Type: Proceedings Article | )@inproceedings{wagner_percom2012, |
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. (Type: Proceedings Article | )@inproceedings{handte_ispd2012, |
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. (Type: Proceedings Article | )@inproceedings{apolinar_ie2012, |
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. (Type: Journal Article | )@article{handte_taas, |
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. (Type: Proceedings Article | )@inproceedings{uico2011, |
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. (Type: Proceedings Article | )@inproceedings{ie2011, |
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. (Type: Proceedings Article | )@inproceedings{KUVS2011, |
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. (Type: Proceedings Article | )@inproceedings{CONTEXT2011, |
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. (Type: Journal Article | )@article{handte_ijngc2011, |
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. (Type: Proceedings Article | )@inproceedings{Apolinarski_PERCOM2009, |
Gregor Schiele, Marcus Handte, Christian Becker: Pervasive Computing Middleware (Chapter in Handbook of Ambient Intelligence and Smart Environments). Springer, 2010. (Type: Book | )@book{Schiele_AISE2010, |
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. (Type: Proceedings Article | )@inproceedings{Handte_SUTC2010, |
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. (Type: Proceedings Article | )@inproceedings{Majuntke_IE2010, |
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. (Type: Proceedings Article | )@inproceedings{Handte_ICPS2010, |
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. (Type: Proceedings Article | )@inproceedings{Handte_CASEMANS2010, |
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. (Type: Proceedings Article | Links)@inproceedings{minder_inss2010, |
Gregor Schiele, Marcus Handte, Christian Becker: Pervasive Computing Middleware. In: Handbook of Ambient Intelligence and Smart Environments (AISE), Springer Publishing Company, Incorporated, 2010. (Type: Proceedings Article | )@inproceedings{Schiele_AISE2010b, |
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. (Type: Proceedings Article | )@inproceedings{Haroon_PERCOM2009, |
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. (Type: Proceedings Article | )@inproceedings{Handte_ECHALLENGES2009, |
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. (Type: Proceedings Article | )@inproceedings{LePhuoc_ECHALLENGES2009, |
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. (Type: Proceedings Article | )@inproceedings{Shih_ICPCA2009, |
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. (Type: Proceedings Article | Links)@inproceedings{Gauger_COMSWARE2008, |
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. (Type: Proceedings Article | )@inproceedings{Gauger_EWSN2008, |
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. (Type: Proceedings Article | Links)@inproceedings{Gauger_SECON2008, |
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. (Type: Proceedings Article | )@inproceedings{Schiele_Perware2008, |
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. (Type: Proceedings Article | )@inproceedings{Schiele_Percom2007, |
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. (Type: Proceedings Article | )@inproceedings{Handte_ICPS2007, |
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. (Type: Proceedings Article | )@inproceedings{Handte_Perware2007, |
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. (Type: Proceedings Article | )@inproceedings{Gauger_FGSN2006, |
Stephan Urbanski, Marcus Handte, Gregor Schiele, Kurt Rothermel: Experience using Processes for Pervasive Applications. In: Pervasive University Workshop, Informatik 2006, Dresden, Germany, 2006. (Type: Proceedings Article | )@inproceedings{Urbanski_Informatik2006, |
Torben Weis, Marcus Handte, Mirko Knoll, Christian Becker: Customizable Pervasive Applications. In: International Conference on Pervasive Computing and Communications (PERCOM) 2006, Pisa, Italy, 2006. (Type: Proceedings Article | )@inproceedings{Weis_Percom2006, |
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. (Type: Proceedings Article | )@inproceedings{Handte_Percom2006, |
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. (Type: Proceedings Article | )@inproceedings{Tilevich_ICSM2005, |
Marcus Handte, Christian Becker, Kurt Rothermel: Peer-based Automatic Configuration of Pervasive Applications. In: International Conference on Pervasive Services (ICPS) 2005, Santorini, Greece, 2005. (Type: Proceedings Article | )@inproceedings{Handte_ICPS2005, |
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. (Type: Proceedings Article | )@inproceedings{Handte_Pervasive2005, |
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. (Type: Journal Article | )@article{Handte_JPCC2005, |
2004 |
Christian Becker, Marcus Handte, Gregor Schiele, Pedro José Marrón: 3PC - Peer to Peer Pervasive Computing. In: GI FG-Treffen Betriebssysteme, Ulm, Germany, 2004. (Type: Proceedings Article | )@inproceedings{Becker_GI2004, |
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. (Type: Proceedings Article | )@inproceedings{Becker_Percom2004, |
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. (Type: Proceedings Article | )@inproceedings{Handte_Ubicomp2003, |
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. (Type: Proceedings Article | )@inproceedings{Csallner_Infovis2003, |