Abstract In this chapter we discuss how to assess the risk level in a given driving scenario based on the eight possible inputs: driver’s direction of attention (yaw, roll, pitch), signs of fatigue or drowsiness (yawning, head nodding, eye closure), and from road situations (distance, and the angle of the detected vehicles to the ego-vehicle). Using a fuzzy-logic inference system, we develop an integrated solution to fuse, to interpret, and to process all of the above information. The ultimate goal is to prevent a traffic accident by fusing all the existing “in-out” data from inside the car cockpit and outside on the road. We aim to warn the driver in case of high-risk driving conditions and to prevent an imminent crash.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fuzzy Fusion for Collision Avoidance


    Beteiligte:
    Rezaei, Mahdi (Autor:in) / Klette, Reinhard (Autor:in)


    Erscheinungsdatum :

    01.01.2017


    Format / Umfang :

    17 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Collision avoidance device, collision avoidance method, and collision avoidance program

    CHEN XI / OKAMOTO KAZUYA | Europäisches Patentamt | 2024

    Freier Zugriff

    COLLISION AVOIDANCE DEVICE, COLLISION AVOIDANCE METHOD AND COLLISION AVOIDANCE PROGRAM

    HIRAMOTO KAZUKI | Europäisches Patentamt | 2023

    Freier Zugriff

    COLLISION AVOIDANCE SYSTEM, COLLISION AVOIDANCE METHOD, AND COLLISION AVOIDANCE PROGRAM

    HIRAMOTO KAZUKI | Europäisches Patentamt | 2023

    Freier Zugriff


    COLLISION AVOIDANCE APPARATUS AND COLLISION AVOIDANCE METHOD

    KIM MINGYU | Europäisches Patentamt | 2020

    Freier Zugriff