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

Martin Holder, Philpp Rosenberger, Hermann Winner, Thomas D'hondt, Vamsi Prakash Makkapati, Franz Michael Maier, Helmut Schreiber, Zoltan Ferenc Magosi, Zora Slavik, Oliver Bringmann, Wolfgang Rosenstiel

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


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.
Original languageEnglish
Title of host publication2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Pages2616 - 2622
Number of pages6
Publication statusPublished - 4 Nov 2018
Event21st IEEE International Conference on Intelligent Transportation Systems: ITSC 2018 - Maui, United States
Duration: 4 Nov 20187 Nov 2018


Conference21st IEEE International Conference on Intelligent Transportation Systems
Abbreviated titleITSC 2018
Country/TerritoryUnited States
Internet address

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