Automated Vehicle (AV) safety is a matter of great importance and has garnered global attention. To ensure the safety of AVs, extensive testing and evaluation of AV functions across a wide range of scenarios are necessary. However, conducting such tests is time-consuming. In order to streamline the testing process, scenario filters have been developed to identify and prioritize safety-critical scenarios while excluding ordinary ones. Nevertheless, the existing scenario filters do not offer sufficient coverage of critical scenarios. Hence, this paper introduces a scenario filter that aims to achieve high coverage of critical scenarios. The proposed filter has been subjected to experimental evaluation, and the results validate its effectiveness in improving the coverage of critical scenarios. Specifically, the proposed filter demonstrates an enhanced coverage rate of up to 70 percent.


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    Titel :

    A Critical Scenario Filter to Accelerate Testing for Automated Vehicles


    Beteiligte:
    Xu, Tian (Autor:in) / Yan, Xuerun (Autor:in) / Zhang, Zhen (Autor:in) / Hu, Jia (Autor:in) / Lai, Jintao (Autor:in)


    Erscheinungsdatum :

    2023-09-24


    Format / Umfang :

    291138 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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