To avoid pedestrian fatalities due to factors such as understeer of the vehicle or negligence in steering by the driver, a step further needs to be taken to improve the steering kinematics and have object detection integration for a robust solution. Here we integrate human detection concepts in computer vision with steering dynamics concepts in vehicle kinematics to give the framework that achieves the ability to avoid pedestrian fatalities due to its ability, innovativeness, and integrated units. The paper consists of a description of each component and the overall system function.Results of the pedestrian sensing system and steering kinematics have been included in this document in the form of program outputs, simulation results, and calculations.


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    Titel :

    Advanced Driver Assistance and Alerting System Using Human Detection for Collision Avoidance


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Sengupta, Joy (Autor:in)

    Kongress:

    Automotive Technical Papers ; 2023



    Erscheinungsdatum :

    08.02.2023




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch






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