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Analysis of Real World Sensor Behavior for Rising Fidelity of Physically Based Lidar Sensor Models

Rosenberger, Philipp ; Holder, Martin Friedrich ; Zirulnik, Marina ; Winner, Hermann
Hrsg.: Rosenberger, Philipp (2018)
Analysis of Real World Sensor Behavior for Rising Fidelity of Physically Based Lidar Sensor Models.
2018 IEEE Intelligent Vehicles Symposium (IV). Changshu, Suzhou, China (26.6. - 30.06.2018)
doi: 10.1109/IVS.2018.8500511
Konferenzveröffentlichung, Erstveröffentlichung

Kurzbeschreibung (Abstract)

Safety validation tests of automated driving (AD) use simulated environments and perception sensor models. To achieve the level of fidelity needed for safety approval, such sensor simulations can be physically based. For formulating requirements for sensor models to be used in such test frameworks, the extent to which they must include physical effects should be determined. One approach is to clarify their relevance for following processing steps like object detection or mapping. But at first, an analysis is needed to determine, which effects are relevant and if they can be implemented at all. In this work, we focus on one lidar sensor and analyze its observable real world sensor behavior to derive the possible effects, physically based lidar sensor models can include. Consequently, we describe environmental parameters that could be considered to influence physically based lidar sensor models. By investigating the specifications given by the manufacturer with own measurements, we show that some of them should be implemented in a dynamic manner. In conclusion, we enable to formulate detailed requirements for sensor models, as their actual possible fidelity is presented.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Herausgeber: Rosenberger, Philipp
Autor(en): Rosenberger, Philipp ; Holder, Martin Friedrich ; Zirulnik, Marina ; Winner, Hermann
Art des Eintrags: Erstveröffentlichung
Titel: Analysis of Real World Sensor Behavior for Rising Fidelity of Physically Based Lidar Sensor Models
Sprache: Englisch
Publikationsjahr: 30 Juni 2018
Ort: Darmstadt
Veranstaltungstitel: 2018 IEEE Intelligent Vehicles Symposium (IV)
Veranstaltungsort: Changshu, Suzhou, China
Veranstaltungsdatum: 26.6. - 30.06.2018
DOI: 10.1109/IVS.2018.8500511
URL / URN: https://tuprints.ulb.tu-darmstadt.de/8877
Kurzbeschreibung (Abstract):

Safety validation tests of automated driving (AD) use simulated environments and perception sensor models. To achieve the level of fidelity needed for safety approval, such sensor simulations can be physically based. For formulating requirements for sensor models to be used in such test frameworks, the extent to which they must include physical effects should be determined. One approach is to clarify their relevance for following processing steps like object detection or mapping. But at first, an analysis is needed to determine, which effects are relevant and if they can be implemented at all. In this work, we focus on one lidar sensor and analyze its observable real world sensor behavior to derive the possible effects, physically based lidar sensor models can include. Consequently, we describe environmental parameters that could be considered to influence physically based lidar sensor models. By investigating the specifications given by the manufacturer with own measurements, we show that some of them should be implemented in a dynamic manner. In conclusion, we enable to formulate detailed requirements for sensor models, as their actual possible fidelity is presented.

URN: urn:nbn:de:tuda-tuprints-88771
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: 11 Aug 2019 19:55
Letzte Änderung: 08 Dez 2023 08:30
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