The evolution towards autonomous driving involves operating safely in open-world environments. For this, autonomous vehicles and their Autonomous Driving System (ADS) are designed and tested for specific, so-called Operational Design Domains (ODDs). When moving from prototypes to real-world mobility solutions, autonomous vehicles, however, will face changing scenarios and operational conditions that they must handle safely. Within this work, we propose a fuzzy-based approach to consider changing operational conditions of autonomous driving based on smaller ODD fragments, called $\mu$ ODDs. By this, an ADS is enabled to smoothly adapt its driving behavior for meeting safety during shifting operational conditions. We evaluate our solution in simulated vehicle following scenarios passing through different $\mu$ ODDs, modeled by weather changes. The results show that our approach is capable of considering operational domain changes without endangering safety and allowing improved utility optimization.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fuzzy Interpretation of Operational Design Domains in Autonomous Driving


    Beteiligte:
    Salvi, Aniket (Autor:in) / Weiss, Gereon (Autor:in) / Trapp, Mario (Autor:in) / Oboril, Fabian (Autor:in) / Buerkle, Cornelius (Autor:in)


    Erscheinungsdatum :

    05.06.2022


    Format / Umfang :

    743013 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    OPERATIONAL DESIGN DOMAINS IN AUTONOMOUS DRIVING

    WHITESIDE IAIN / HENDERSON ROBBIE | Europäisches Patentamt | 2023

    Freier Zugriff


    FAIL SAFE OPERATIONAL STEERING SYSTEM FOR AUTONOMOUS DRIVING

    Europäisches Patentamt | 2017

    Freier Zugriff

    DEFINITION AND ONLINE MONITORING METHOD AND SYSTEM FOR AUTONOMOUS DRIVING OPERATIONAL DESIGN DOMAIN

    JIANG ZHENGMIN / LI HUIYUN / PAN YI et al. | Europäisches Patentamt | 2025

    Freier Zugriff