Parking space detection from a radar based target list

Conference contribution


Publication Details

Author(s): Prophet R, Hoffmann M, Vossiek M, Li G
Publication year: 2017
Conference Proceedings Title: IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM 2017)
Language: English


Abstract


The detection of an unoccupied parking spaces is a requirement of autonomous parking systems. This paper presents a radar based real-time algorithm, which detects, classifies, and evaluates parking spaces in a vehicle's immediate vicinity. In contrast to frequently used gridmap methods, our approach processes the radar data in a specially designed target list of 2D vectors. Consequently, quantization errors are avoided and computational burdens reduced. Experiments show that the proposed algorithm is suited for both parallel and perpendicular parking spaces in urban scenes.



FAU Authors / FAU Editors

Hoffmann, Marcel
Vossiek, Martin Prof. Dr.-Ing.
Lehrstuhl für Hochfrequenztechnik
Li, Gang
Lehrstuhl für Hochfrequenztechnik
Prophet, Robert
Lehrstuhl für Hochfrequenztechnik
Lehrstuhl für Hochfrequenztechnik


How to cite

APA:
Prophet, R., Hoffmann, M., Vossiek, M., & Li, G. (2017). Parking space detection from a radar based target list. In IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM 2017). Nagoya, JP.

MLA:
Prophet, Robert, et al. "Parking space detection from a radar based target list." Proceedings of the IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM 2017), Nagoya, JP 2017.

BibTeX: 

Last updated on 2018-21-10 at 19:40