Linnhoff, Clemens ; Rosenberger, Philipp ; Holder, Martin Friedrich ; Cianciaruso, Nicodemo ; Winner, Hermann (2020)
Highly Parameterizable and Generic Perception Sensor Model Architecture.
6th International ATZ Conference Automated Driving. Wiesbaden (13.10. - 14.10.2020)
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Scenario-based virtual testing is seen as a key element to bring the overall safety validation effort for automated driving functions to an economically feasible level. In this work, a generic and modular architecture for simulation of automotive perception sensors is introduced, as part of the overall virtual testing pipeline. It is based on the functional decomposition of real world perception sensors. All interfaces between the individual modules of the model architecture are oriented on internationally recognized standards and therefore facilitate a high degree of interchangeability. In addition, a wrapper framework handles all outer communication and enables a profile-based parameterization of the model, where every profile reflects a specific set of parameters tailored to the specifications and use case of the end user.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Linnhoff, Clemens ; Rosenberger, Philipp ; Holder, Martin Friedrich ; Cianciaruso, Nicodemo ; Winner, Hermann |
| Art des Eintrags: | Bibliographie |
| Titel: | Highly Parameterizable and Generic Perception Sensor Model Architecture |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Ort: | Darmstadt |
| Verlag: | Springer Vieweg |
| Buchtitel: | Automatisiertes Fahren 2020 - Von der Fahrerassistenz zum autonomen Fahren - 6. Internationale ATZ-Fachtagung |
| Kollation: | 12 Seiten |
| Veranstaltungstitel: | 6th International ATZ Conference Automated Driving |
| Veranstaltungsort: | Wiesbaden |
| Veranstaltungsdatum: | 13.10. - 14.10.2020 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Scenario-based virtual testing is seen as a key element to bring the overall safety validation effort for automated driving functions to an economically feasible level. In this work, a generic and modular architecture for simulation of automotive perception sensors is introduced, as part of the overall virtual testing pipeline. It is based on the functional decomposition of real world perception sensors. All interfaces between the individual modules of the model architecture are oriented on internationally recognized standards and therefore facilitate a high degree of interchangeability. In addition, a wrapper framework handles all outer communication and enables a profile-based parameterization of the model, where every profile reflects a specific set of parameters tailored to the specifications and use case of the end user. |
| 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 |
| TU-Projekte: | TÜV Rheinland|19A19004E|SETLevel4to5 Bund/BMWi|19A19002S|VVMethoden |
| Hinterlegungsdatum: | 02 Aug 2024 12:35 |
| Letzte Änderung: | 02 Aug 2024 12:35 |
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| Suche nach Titel in: | TUfind oder in Google |
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Highly Parameterizable and Generic Perception Sensor Model Architecture. (deposited 13 Jul 2021 10:38)
- Highly Parameterizable and Generic Perception Sensor Model Architecture. (deposited 02 Aug 2024 12:35) [Gegenwärtig angezeigt]
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