Abstract The introduction of automated vehicles to the market raises various questions and problems. One of those problems is the trustworthiness of the automated systems and in this connection the user’s perception and acceptance. The user’s perception is especially important during SAE level 3 automated driving (L3AD), where the driver has to be able to resume vehicle control, and during the initial deployment of automated systems, where mixed traffic situations occur, in which automated and human-driven vehicles share the same road space. The Horizon 2020 project TrustVehicle aims at investigating critical scenarios, especially in mixed traffic situations and under harsh weather conditions, and at improving the trustworthiness and availability of L3AD functionalities through a user-centric approach.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    TrustVehicle – Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios


    Beteiligte:


    Erscheinungsdatum :

    2018-08-18


    Format / Umfang :

    15 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    TrustVehicle - Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios

    Innerwinkler, Pamela / Karci, Ahu Ece Hartavi / Tarkiainen, Mikko et al. | TIBKAT | 2019


    Identifying crashes potentially affected by conditionally automated vehicles in Finland

    Malin, Fanny / Silla, Anne / Mesimäki, Johannes et al. | Taylor & Francis Verlag | 2023

    Freier Zugriff

    Scenario Factory: Creating Safety-Critical Traffic Scenarios for Automated Vehicles

    Klischat, Moritz / Liu, Edmond Irani / Holtke, Fabian et al. | IEEE | 2020



    Cooperative Automated Driving for Bottleneck Scenarios in Mixed Traffic

    Baumann, M.V. / Beyerer, J. / Buck, H.S. et al. | IEEE | 2023