Glatzki, Felix ; Lippert, Moritz ; Winner, Hermann (2021)
Behavioral Attributes for a Behavior-Semantic Scenery Description (BSSD) for the Development of Automated Driving Functions.
doi: 10.1109/ITSC48978.2021.9564892
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
A crucial step for the safety verification and validation process of Highly Automated Vehicles (HAV) is the definition of the Operational Design Domain (ODD). The ODD specifies the space of operation for the system under consideration, mainly based on the traffic environment and the subject vehicle behavior. Current approaches are able to describe the static traffic environment by representing the individual elements of the scenery, but they do not manage to identify the behavior-relevant information from these elements. This information is important for the functional specification of the system. We introduce a structure of behavioral attributes that assigns the behavior relevant information to the scenery. This enables the capturing of the limits of the behavioral demand of the scenery, which serves as a basis for the Behavior-Semantic Scenery Description (BSSD). The advantage of this behavioral abstraction process is a reduction in complexity while preserving the behavior-relevant information content. We illustrate this advantage by applying the behavioral attributes to different real-world intersection examples.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2021 |
Autor(en): | Glatzki, Felix ; Lippert, Moritz ; Winner, Hermann |
Art des Eintrags: | Bibliographie |
Titel: | Behavioral Attributes for a Behavior-Semantic Scenery Description (BSSD) for the Development of Automated Driving Functions |
Sprache: | Englisch |
Publikationsjahr: | September 2021 |
Ort: | Indianapolis, IN, USA |
Verlag: | IEEE |
Buchtitel: | 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) : Indianapolis, 19-22 Sept. 2021 |
DOI: | 10.1109/ITSC48978.2021.9564892 |
URL / URN: | https://ieeexplore.ieee.org/document/9564892 |
Kurzbeschreibung (Abstract): | A crucial step for the safety verification and validation process of Highly Automated Vehicles (HAV) is the definition of the Operational Design Domain (ODD). The ODD specifies the space of operation for the system under consideration, mainly based on the traffic environment and the subject vehicle behavior. Current approaches are able to describe the static traffic environment by representing the individual elements of the scenery, but they do not manage to identify the behavior-relevant information from these elements. This information is important for the functional specification of the system. We introduce a structure of behavioral attributes that assigns the behavior relevant information to the scenery. This enables the capturing of the limits of the behavioral demand of the scenery, which serves as a basis for the Behavior-Semantic Scenery Description (BSSD). The advantage of this behavioral abstraction process is a reduction in complexity while preserving the behavior-relevant information content. We illustrate this advantage by applying the behavioral attributes to different real-world intersection examples. |
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD) 16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD) > Fahrerassistenzssysteme |
Hinterlegungsdatum: | 10 Nov 2021 08:19 |
Letzte Änderung: | 11 Nov 2021 06:01 |
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