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)
Conference or Workshop Item, Bibliographie
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2023 |
| Creators: | Berghöfer, Moritz ; Lutwitzi, Melina ; Peters, Steven |
| Type of entry: | Bibliographie |
| Title: | Systematic derivation of use case clusters for a generalized low-speed automated driving function |
| Language: | English |
| Date: | 24 October 2023 |
| Place of Publication: | Darmstadt |
| Publisher: | Uni-DAS e.V. |
| Book Title: | 15. Workshop Fahrerassistenz und automatisiertes Fahren FAS 2023 |
| Event Title: | 15. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren |
| Event Location: | Kloster Bonlanden, Berkheim, Deutschland |
| Event Dates: | 24.10.2023-26.10.2023 |
| URL / URN: | https://www.uni-das.de/fas-workshop/2023.html |
| 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. |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD) 16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD) > Driver Assistance |
| Date Deposited: | 31 Oct 2023 06:54 |
| Last Modified: | 31 Oct 2023 06:54 |
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