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Systematic derivation of use case clusters for a generalized low-speed automated driving function

Berghöfer, Moritz ; Lutwitzi, Melina ; Peters, Steven (2023)
Systematic derivation of use case clusters for a generalized low-speed automated driving function.
15. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren. Kloster Bonlanden, Berkheim, Deutschland (24.10.2023-26.10.2023)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

One approach for the introduction of SAE Level 3+ Automated Driving are low- speed driving functions due to a reduced risk associated with them. In this paper, a systematic methodology to derive use cases and use case clusters for low-speed applications of Automated Driving (AD), which can be potentially fulfilled by a generalized low-speed function architecture, is described and applied. The use case clusters are defined according to a classification of the derived use cases in the dimensions of safety and technical capabilities. Thereby, the results of this paper simplify the definition of the ODD as well as the functional requirements and architecture for the future development of low-speed AD functions.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Berghöfer, Moritz ; Lutwitzi, Melina ; Peters, Steven
Art des Eintrags: Bibliographie
Titel: Systematic derivation of use case clusters for a generalized low-speed automated driving function
Sprache: Englisch
Publikationsjahr: 24 Oktober 2023
Ort: Darmstadt
Verlag: Uni-DAS e.V.
Buchtitel: 15. Workshop Fahrerassistenz und automatisiertes Fahren FAS 2023
Veranstaltungstitel: 15. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren
Veranstaltungsort: Kloster Bonlanden, Berkheim, Deutschland
Veranstaltungsdatum: 24.10.2023-26.10.2023
URL / URN: https://www.uni-das.de/fas-workshop/2023.html
Kurzbeschreibung (Abstract):

One approach for the introduction of SAE Level 3+ Automated Driving are low- speed driving functions due to a reduced risk associated with them. In this paper, a systematic methodology to derive use cases and use case clusters for low-speed applications of Automated Driving (AD), which can be potentially fulfilled by a generalized low-speed function architecture, is described and applied. The use case clusters are defined according to a classification of the derived use cases in the dimensions of safety and technical capabilities. Thereby, the results of this paper simplify the definition of the ODD as well as the functional requirements and architecture for the future development of low-speed AD functions.

Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD)
16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD) > Fahrerassistenzssysteme
Hinterlegungsdatum: 31 Okt 2023 06:54
Letzte Änderung: 31 Okt 2023 06:54
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