An obstacle recognition algorithm for the Pre-Crash Safety system has been newly developed with a stereo vision system and a millimeter wave radar with additional functions. This algorithm uses the merits of both the millimeter wave radar and the stereo vision system, and has two main features.One feature utilizes the merits of the stereo vision system detection with the detection results from the millimeter wave radar allowing for a more detailed horizontal position and width of the obstacle. This enables the equipment to operate at an earlier stage according to how well the relationship between the vehicle and the obstacle is understood.Another feature fuses detection from the millimeter wave radar and the stereo vision system. This system has succeeded in enhancing the detection performance of pedestrians who have been more difficult to detect than reflective objects such as cars. This PCS system is the first of its kind in the world that detects obstacles, including pedestrians, and employs automatic braking.


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    Titel :

    The Advanced Sensor Fusion Algorithm for Pre-Crash Safety System


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Fujinami, Hiroaki (Autor:in) / Tsuchida, Jun (Autor:in) / Usami, Masayuki (Autor:in) / Tokoro, Setsuo (Autor:in)

    Kongress:

    SAE World Congress & Exhibition ; 2007



    Erscheinungsdatum :

    2007-04-16




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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