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Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving

Holder, Martin Friedrich ; Rosenberger, Philipp ; Winner, Hermann ; Dhondt, Thomas ; Makkapati, Vamsi Prakash ; Maier, Michael ; Schreiber, Helmut ; Magosi, Zoltan ; Slavik, Zora ; Bringmann, Oliver ; Rosenstiel, Wolfgang (2019)
Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving.
2018 21st International Conference on Intelligent Transportation Systems (ITSC). Maui, HI, USA (4-7 Nov. 2018)
Conference or Workshop Item, Secondary publication

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Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving
Language: English
Date: 20 November 2019
Place of Publication: Darmstadt
Year of primary publication: 2018
Publisher: IEEE
Event Title: 2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Event Location: Maui, HI, USA
Event Dates: 4-7 Nov. 2018
Corresponding Links:
Abstract:

The virtual validation of automated driving functions requires meaningful simulation models of environment perception sensors such as radar, lidar, and cameras. There does not yet exist an unrivaled standard for perception sensor models, and radar especially lacks modeling approaches that consistently produce realistic results. In this paper, we present measurements that exemplify challenges in the development of meaningful radar sensor models. We highlight three major challenges: multi-path propagation, separability, and sensitivity of radar cross section to the aspect angle. We also review previous work addressing these challenges and suggest further research directions towards meaningful automotive radar simulation models.

URN: urn:nbn:de:tuda-tuprints-92779
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD)
16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD) > Driver Assistance
16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD) > Safety
16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD) > Test Methods
Date Deposited: 20 Nov 2019 08:24
Last Modified: 20 Oct 2023 08:44
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/9277
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