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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.

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Metadaten
Author:Egor Streck, Reinhold HerschelORCiD, Patrick Wallrath, M. Sunderam, Gordon ElgerORCiD
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):License Logo Creative Commons BY-NC-ND 4.0
Release Date:2023/02/15