STRETCH: Generating Challenging Scenarios for Testing Collision Avoidance Systems

Franz Scheuer, Alessio Gambi, Paolo Arcaini

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Collision avoidance systems are fundamental for autonomous driving and need to be tested thoroughly to check whether they safely handle critical scenarios. Testing collision avoidance systems is generally done by means of scenario-based testing using simulators and comes with the main challenge of generating situations that are realistic but avoidable. In other words, driving scenarios must stress the collision avoidance functionalities while being representative. Existing crash databases and accident reports describe observed accidents and enable to (re)create realistic collisions in simulations; however, as those data sources focus on the impact, their data do not generally lead to avoidable collision scenarios. To address this issue, we propose STRETCH, which generates realistic, critical, and avoidable collision scenarios by extending focused collision descriptions using a multi-objective optimization algorithm. Thanks to STRETCH, developers and testers can automatically generate challenging test cases based on realistic crash scenarios.

OriginalspracheEnglisch
TitelIV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1-6
Seitenumfang6
ISBN (elektronisch)9798350346916
DOIs
PublikationsstatusVeröffentlicht - 27 Juli 2023
Veranstaltung34th IEEE Intelligent Vehicles Symposium, IV 2023 - Anchorage, USA/Vereinigte Staaten
Dauer: 4 Juni 20237 Juni 2023

Publikationsreihe

NameIEEE Intelligent Vehicles Symposium, Proceedings
Band2023-June

Konferenz

Konferenz34th IEEE Intelligent Vehicles Symposium, IV 2023
Land/GebietUSA/Vereinigte Staaten
OrtAnchorage
Zeitraum4/06/237/06/23

Forschungsfelder

  • Software Testing

IMC Forschungsschwerpunkte

  • Software engineering and intelligent systems

ÖFOS 2012 - Österreichischen Systematik der Wissenschaftszweige

  • 102015 Informationssysteme

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