Rosenberger, Philipp ; Holder, Martin Friedrich ; Huch, Sebastian ; Winner, Hermann ; Zofka, Marc René ; Zöllner, Johann Marius ; D'hondt, Thomas ; Wassermann, Benjamin (2019)
Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models.
IEEE Intelligent Vehicles Symposium (IV) 2019. Paris, France (09.06.2019-12.06.2019)
doi: 10.1109/IVS.2019.8814081
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Simulation-based testing is seen as a major requirement for the safety validation of highly automated driving. One crucial part of such test architectures are models of environment perception sensors such as camera, lidar and radar sensors. Currently, an objective evaluation and the comparison of different modeling approaches for automotive lidar sensors are still a challenge. In this work, a real lidar sensor system used for object recognition is first functionally decomposed. The resulting sequence of processing blocks and interfaces is then mapped onto simulation methods. Subsequently, metrics applied to the aforementioned interfaces are derived, enabling a quantitative comparison between simulated and real sensor data at different steps of the processing pipeline. Benchmarks for several existing sensor models at a concrete selected interface are performed using those metrics by comparing them to measurements gained from the real sensor. Finally, we outline how metrics on low-level interfaces can correlate with results on more abstract ones. A major achievement of this work lies within the commonly accepted interfaces and a common understanding of real and virtual lidar sensor systems and, even more important, an initial guideline for the quantitative comparison of sensor models with the ambition to support future validation of virtual sensor models.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Rosenberger, Philipp ; Holder, Martin Friedrich ; Huch, Sebastian ; Winner, Hermann ; Zofka, Marc René ; Zöllner, Johann Marius ; D'hondt, Thomas ; Wassermann, Benjamin |
| Art des Eintrags: | Bibliographie |
| Titel: | Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models |
| Sprache: | Englisch |
| Publikationsjahr: | 10 Juni 2019 |
| Ort: | Paris |
| Veranstaltungstitel: | IEEE Intelligent Vehicles Symposium (IV) 2019 |
| Veranstaltungsort: | Paris, France |
| Veranstaltungsdatum: | 09.06.2019-12.06.2019 |
| DOI: | 10.1109/IVS.2019.8814081 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Simulation-based testing is seen as a major requirement for the safety validation of highly automated driving. One crucial part of such test architectures are models of environment perception sensors such as camera, lidar and radar sensors. Currently, an objective evaluation and the comparison of different modeling approaches for automotive lidar sensors are still a challenge. In this work, a real lidar sensor system used for object recognition is first functionally decomposed. The resulting sequence of processing blocks and interfaces is then mapped onto simulation methods. Subsequently, metrics applied to the aforementioned interfaces are derived, enabling a quantitative comparison between simulated and real sensor data at different steps of the processing pipeline. Benchmarks for several existing sensor models at a concrete selected interface are performed using those metrics by comparing them to measurements gained from the real sensor. Finally, we outline how metrics on low-level interfaces can correlate with results on more abstract ones. A major achievement of this work lies within the commonly accepted interfaces and a common understanding of real and virtual lidar sensor systems and, even more important, an initial guideline for the quantitative comparison of sensor models with the ambition to support future validation of virtual sensor models. |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| 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: | 22 Sep 2019 19:55 |
| Letzte Änderung: | 03 Jul 2024 02:40 |
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Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models. (deposited 18 Sep 2019 13:19)
- Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models. (deposited 22 Sep 2019 19:55) [Gegenwärtig angezeigt]
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