Contact
Name | Bijan Shahbaz Nejad |
---|---|
Position | Researcher |
Phone | +49-201-183-6370 |
Fax | +49-201-183-4176 |
bijan.shahbaz-nejad@uni-due.de | |
Address | Schützenbahn 70 Building SA 45127 Essen |
Room | SA-118 |

Education
- Since 11.2019 PhD Student, University of Duisburg-Essen, Computer Science
- 2019 Master of Science – University of Duisburg-Essen, Software and Network Engineering
- 2017 Bachelor of Science – University of Duisburg-Essen, Angewandte Informatik – Systems Engineering
Employments
- Since 11.2019 University of Duisburg-Essen, Researcher (Networked Embedded Systems, NES)
- 10.2018 – 10.2019 ALDI Einkauf GmbH & Co. oHG, Working Student (IT Consulting)
- 10.2017 – 04.2018 adesso AG, Working Student (Software Engineering)
Publications
2020 |
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. |