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CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles

  • Technische Universität München

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

29 Zitate (Scopus)

Abstract

Criticality measures are essential for autonomous vehicles to capture the complexity of the surrounding environment, trigger emergency maneuvers, and verify safety. However, there is currently no publicly available toolbox that allows researchers to use or evaluate a large number of criticality measures on arbitrary traffic scenarios. To address this issue, we present CommonRoad-CriMe, an open-source toolbox for measuring the criticality of autonomous vehicles in a unified framework. Our toolbox covers a wide range of state-of-the-art criticality measures and provides visualized information to facilitate debugging and showcasing. Numerical experiments demonstrate how our toolbox facilitates the comparison of different criticality measures and the analysis of traffic conflicts. Our toolbox is available at commonroad.in.tum.de.

OriginalspracheEnglisch
TitelIV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9798350346916
DOIs
PublikationsstatusVeröffentlicht - 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

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