Formal models for the safety validation of autonomous vehicles have become increasingly important. To this end, we present a safety framework for longitudinal automated driving. This framework enables the calculation of minimum safe inter-vehicular distances for arbitrary ego vehicle control policies in a computationally efficient manner. We use this framework to enhance and generalize the Responsibility-Sensitive Safety (RSS) [1] model and models based on it, which fail to cover situations where the ego vehicle has a higher decelerating capacity than its preceding vehicle.


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    Titel :

    Towards a Complete Safety Framework for Longitudinal Driving


    Beteiligte:
    Sidorenko, Galina (Autor:in) / Fedorov, Aleksei (Autor:in) / Thunberg, Johan (Autor:in) / Vinel, Alexey (Autor:in)


    Erscheinungsdatum :

    2024-06-02


    Format / Umfang :

    822031 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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