Parking space detection from a radar based target list

Beitrag bei einer Tagung


Details zur Publikation

Autor(en): Prophet R, Hoffmann M, Vossiek M, Li G
Jahr der Veröffentlichung: 2017
Tagungsband: IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM 2017)
Sprache: Englisch


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-Autoren / FAU-Herausgeber

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


Zitierweisen

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: 

Zuletzt aktualisiert 2018-21-10 um 19:40