Procedure for the Safety Assessment of an Autonomous Vehicle Using Real-World Scenarios
Erwin de Gelder, Olaf Op den Camp

TL;DR
This paper presents a systematic, scenario-based procedure for assessing autonomous vehicle safety that balances thorough testing with confidentiality concerns, using limited physical tests and performance ratings.
Contribution
It introduces a novel approach to select and verify tests based on ODD and DDT, reducing physical testing needs while protecting proprietary information.
Findings
Test selection tailored to AV's ODD and DDT
Applicant provides performance ratings instead of detailed results
Limited physical tests suffice for verification
Abstract
The development of Autonomous Vehicles (AVs) has made significant progress in the last years. An important aspect in the development of AVs is the assessment of their safety. New approaches need to be worked out. Among these, real-world scenario-based assessment is widely supported by many players in the automotive field. Scenario-based assessment allows for using virtual simulation tools in addition to physical tests, such as on a test track, proving ground, or public road. We propose a procedure for real-world scenario-based road-approval assessment considering three stakeholders: the applicant, the assessor, and the (road or vehicle) authority. The challenges are as follows. Firstly, the tests need to be tailored to the operational design domain (ODD) and dynamic driving task (DDT) description of the AV. Secondly, it is assumed that the applicant does not want to disclose all of…
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Taxonomy
TopicsAutonomous Vehicle Technology and Safety · Human-Automation Interaction and Safety
