Autonomous driving (AV) has been intensively researched over the last decade. In this paper, we introduce an open autonomous driving software stack to enable faster design, development, and testing of algorithms on simulated or experimental vehicles, which we hope will become a useful tool for AV researchers.


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    Titel :

    CLAP: Cloud-and-Learning-compatible Autonomous driving Platform


    Beteiligte:
    Zhong, Yuanxin (Autor:in) / Cao, Zhong (Autor:in) / Zhu, Minghan (Autor:in) / Wang, Xinpeng (Autor:in) / Yang, Diange (Autor:in) / Peng, Huei (Autor:in)


    Erscheinungsdatum :

    19.10.2020


    Format / Umfang :

    2423063 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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