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Dokumenttyp:
Konferenzbeitrag
Autor(en):
Lin, Yuanfei; Althoff, Matthias
Titel:
CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles
Seitenangaben Beitrag:
1-8
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...     »
Stichworte:
autonomous driving; trajectory repairing; criticality measures
Kongress- / Buchtitel:
2023 IEEE Intelligent Vehicles Symposium (IV)
Jahr:
2023
Seiten:
1--8
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