One of the biggest challenges towards fully automated driving is achieving robustness. Autonomous vehicles will have to fully recognize their environment even in harsh weather conditions. Additionally, they have to be able to detect sensor and algorithm failures and react properly to keep the vehicle in a safe state.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust environment perception for the Audi Autonomous Driving Cup


    Beteiligte:
    Kuhnt, Florian (Autor:in) / Pfeiffer, Micha (Autor:in) / Zimmer, Peter (Autor:in) / Zimmerer, David (Autor:in) / Gomer, Jan-Markus (Autor:in) / Kaiser, Vitali (Autor:in) / Kohlhaas, Ralf (Autor:in) / Zollner, J. Marius (Autor:in)


    Erscheinungsdatum :

    2016-11-01


    Format / Umfang :

    2329389 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    PERCEPTION FIELDS FOR AUTONOMOUS DRIVING

    RAICHELGAUZ IGAL / ENGELSOY JULIUS | Europäisches Patentamt | 2024

    Freier Zugriff

    Robust Perception Under Adverse Conditions for Autonomous Driving Based on Data Augmentation

    Zheng, Ziqiang / Cheng, Yujie / Xin, Zhichao et al. | IEEE | 2023



    Driving adventure: New Audi Q7

    Kacher,G. / Audi,Ingolstadt,DE | Kraftfahrwesen | 2015


    Perception assistant for autonomous driving vehicles (ADVs)

    TAO JIAMING / ZHANG LIANGLIANG / LI DONG et al. | Europäisches Patentamt | 2021

    Freier Zugriff