Autonomous driving holds great potential for reducing traffic accidents. Despite many advancements in autonomous vehicle functions, challenges persist in assessing their safety. Scenario-Based Testing (SBT) has gained prominence for evaluating these vehicles. This review succinctly analyzes established and innovative strategies used to generate scenarios for SBT, outlining crucial challenges and current research focal points. Valuable insights are provided for researchers and engineers addressing safety concerns about autonomous vehicles by scenario-based testing.


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    Titel :

    A Review on Scenario Generation for Testing Autonomous Vehicles


    Beteiligte:
    Cai, Jinkang (Autor:in) / Yang, Shichun (Autor:in) / Guang, Haoran (Autor:in)


    Erscheinungsdatum :

    02.06.2024


    Format / Umfang :

    1027084 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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