Pedestrian Classification with a 79 GHz Automotive Radar Sensor

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Prophet R, Hoffmann M, Vossiek M, Sturm C, Ossowska A, Malik W, Lubbert U
Publication year: 2018
Language: English


Abstract

In this paper the classification of pedestrians with a 79 GHz automotive
radar sensor is investigated. A suitable algorithm chain is described
and tested with measurement data from various moving objects. Finally,
an overview of the performance achieved with different classifiers is
given.


FAU Authors / FAU Editors

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


External institutions
Valeo Schalter und Sensoren GmbH


How to cite

APA:
Prophet, R., Hoffmann, M., Vossiek, M., Sturm, C., Ossowska, A., Malik, W., & Lubbert, U. (2018). Pedestrian Classification with a 79 GHz Automotive Radar Sensor. In Proceedings of the 19th International Radar Symposium.

MLA:
Prophet, Robert, et al. "Pedestrian Classification with a 79 GHz Automotive Radar Sensor." Proceedings of the 19th International Radar Symposium 2018.

BibTeX: 

Last updated on 2019-16-04 at 22:24