Holder, Martin ; Rosenberger, Philipp ; Winner, Hermann ; D'hondt, Thomas ; Makkapati, Vamsi Prakash ; Maier, Michael ; Schreiber, Helmut ; Magosi, Zoltan ; Slavik, Zora ; Bringmann, Oliver ; Rosenstiel, W. (2018)
Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving.
21st International Conference on Intelligent Transportation Systems (ITSC). Maui, Hawaii, USA (04.11.2018-07.11.2018)
doi: 10.1109/ITSC.2018.8569423
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Holder, Martin ; Rosenberger, Philipp ; Winner, Hermann ; D'hondt, Thomas ; Makkapati, Vamsi Prakash ; Maier, Michael ; Schreiber, Helmut ; Magosi, Zoltan ; Slavik, Zora ; Bringmann, Oliver ; Rosenstiel, W. |
| Art des Eintrags: | Bibliographie |
| Titel: | Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving |
| Sprache: | Englisch |
| Publikationsjahr: | 2018 |
| Ort: | Maui, Hawaii, USA |
| Veranstaltungstitel: | 21st International Conference on Intelligent Transportation Systems (ITSC) |
| Veranstaltungsort: | Maui, Hawaii, USA |
| Veranstaltungsdatum: | 04.11.2018-07.11.2018 |
| DOI: | 10.1109/ITSC.2018.8569423 |
| URL / URN: | https://doi.org/10.1109/ITSC.2018.8569423 |
| Zugehörige Links: | |
| Kurzbeschreibung (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. |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD) 16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD) > Fahrerassistenzssysteme 16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD) > Sicherheit 16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD) > Testverfahren |
| Hinterlegungsdatum: | 18 Apr 2019 05:53 |
| Letzte Änderung: | 02 Jul 2024 13:29 |
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Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving. (deposited 19 Jun 2024 14:22)
- Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving. (deposited 18 Apr 2019 05:53) [Gegenwärtig angezeigt]
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