Towards a Skill- And Ability-Based Development Process for Self-Aware Automated Road Vehicles
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Abstract (arXiv)
The development of fully automated vehicles imposes new challenges in the development process and during the operation of such vehicles. As traditional design methods are not sufficient to account for the huge variety of scenarios which will be encountered by (fully) automated vehicles, approaches for designing safe systems must be extended in order to allow for an ISO~26262 compliant development process. During operation of vehicles implementing SAE Levels 3+ safe behavior must always be guaranteed, as the human driver is not or not immediately available as a fall-back. Thus, the vehicle must be aware of its current performance and remaining abilities at all times. In this paper we combine insights from two research projects for showing how a skill- and ability-based approach can provide a basis for the development phase and operation of self-aware automated road vehicles.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Aug 2017.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 1; 2024: 2.
6 papers.
- 2021The Reasonable Crowd: Towards evidence-based and interpretable models of driving behaviorcited by 12
- 2021Safety of the Intended Driving Behavior Using Rulebookscited by 8
- 2021A Knowledge-based Approach for the Automatic Construction of Skill Graphs for Online Monitoringcited by 2
- 2023Towards Establishing Systematic Classification Requirements for Automated Drivingcited by 0
- 2024Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Drivingcited by 0
- 2024An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Drivingcited by 0
- 2024An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving10 Sep 2024
- 2024Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Driving30 Apr 2024
- 2023Towards Establishing Systematic Classification Requirements for Automated Driving26 Jul 2023
- 2021The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior28 Jul 2021
- 2021Safety of the Intended Driving Behavior Using Rulebooks10 May 2021
- 2021A Knowledge-based Approach for the Automatic Construction of Skill Graphs for Online Monitoring15 Feb 2021