Comparison of Two Different Radar Concepts for Pedestrian Protection on Bus Stops
- This paper presents the joint work from the “HORIS” project, with a focus on pedestrian detection at bus-stops by radar sensors mounted in the infrastructure to support future autonomous driving and protecting pedestrians in critical situations. Two sensor systems are investigated and evaluated. The first based on single radar sensor phase-sensitive raw data analysis and the second based on sensor data fusion of cluster data with two radar sensors using neural networks to predict the position of pedestrians.
Author: | Egor Streck, Reinhold HerschelORCiD, Patrick Wallrath, M. Sunderam, Gordon ElgerORCiD |
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Language: | English |
Document Type: | Conference Paper |
Conference: | 11th International Conference on Sensor Networks (SENSORNETS 2022), online, 07.-08.02.2022 |
Year of first Publication: | 2022 |
published in (English): | Proceedings of the 11th International Conference on Sensor Networks |
Editor(s): | Venkatesha Prasad, Dirk Pesch, Nirwan Ansari, César Benavente-Peces |
Publisher: | SciTePress |
Place of publication: | Setúbal |
ISBN: | 978-989-758-551-7 |
ISSN: | 2184-4380 |
First Page: | 89 |
Last Page: | 96 |
Review: | peer-review |
Open Access: | ja |
Tag: | Machine Learning; Multiple-Sensor Systems; Radar Sensor; Sensor Data Fusion |
Related Identifier: | https://doi.org/10.5220/0010777100003118 |
Faculties / Institutes / Organizations: | Fakultät Elektro- und Informationstechnik |
Institut für Innovative Mobilität (IIMo) | |
Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur" | |
Licence (German): | Creative Commons BY-NC-ND 4.0 |
Release Date: | 2023/02/15 |