How Unsafe was the Scenario? A Criticality Measure for Scenario-Based Testing of Automated Vehicles
Scenario-Based Testing (SBT) is the most widely used method for safety assurance of Automated Driving System equipped Vehicles (ADS-Vs). To comply with ISO 21448, a key standard for ADS-V safety assurance, SBT can be formulated as an optimization problem to identify unknown hazardous scenarios within the ADS-V's Operational Design Domain. To identify hazardous scenarios through optimization, an appropriate cost function for scenario hazardous-ness is needed that satisfies specific requirements. Existing criticality measures in the literature do not satisfy these requirements. We interpret scenario hazardous-ness as the proximity to a collision for the ADS-V. We propose a Criticality Measure (CM) using the set of alternative futures of a Reference Vehicle (RV) following the trajectory of the ADS-V. The CM indicates the proximity to a collision, both in time and space. The proposed CM provides a posteriori knowledge about the criticality of a scenario already generated by the optimization where the future evolution of every scene is available. To showcase the developed CM, multiple scenarios in two road networks, an intersection, and a highway segment are evaluated for criticality. We briefly discuss how to incorporate the severity of collisions/potential future collisions in the CM. The possible extensions and limitations of the proposed CM are discussed.
Authors
- Nathan van de Wouw (ORCID: https://orcid.org/0000-0002-6745-9137)
- Jeroen Ploeg (ORCID: https://orcid.org/0000-0001-8332-5860)
- Erjen Lefeber (ORCID: https://orcid.org/0000-0002-5455-2834)
- Mohsen Alirezaei (ORCID: https://orcid.org/0000-0002-2858-6408)
- Igo Besselink (ORCID: https://orcid.org/0000-0001-7976-6700)
- Kevin Tom Kurian
- Nishant Rajesh
Institutions
- Siemens (Netherlands) (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1109/iv64158.2025.11097344
- Primary Topic
- Safety Systems Engineering in Autonomy
- Type
- article
- Field-Weighted Citation Impact
- 0.00