The paper describes a connected vehicle application that uses vehicle data from the steering system, brakes, and wheels to identify road surface properties. The data are uploaded to the cloud and fused to identify road properties such as road friction, road curvatures, and distresses and to show their location on a High-Definition Map. Crowdsourcing increases accuracy and keeps the information up to date. By sharing this information through an over-the-air connection to the cloud, other vehicles receive advance notice of potential risks ahead, allowing them to take precautionary measures. Applications range from driver warning to assisted maneuvering via shared haptic control.

    This cloud-based service takes advantage of connected vehicle electronics architectures and enables assist functions to increase vehicle stability and improve ride comfort.


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    Titel :

    Enhancing the real-time connection between driver, vehicle, & road


    Weitere Titelangaben:

    Proceedings


    Beteiligte:
    Pfeffer, Peter E. (Herausgeber:in) / Klesing, Joe (Autor:in) / Bin-Nun, Shahar (Autor:in) / Rambourg, Juliette (Autor:in) / Rabadan, Daniel Carriazo (Autor:in)

    Kongress:

    International Munich Chassis Symposium ; 2023 ; München, Germany June 20, 2023 - June 21, 2023



    Erscheinungsdatum :

    24.12.2024


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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