This paper focuses on recognition and tracking of maneuvering vehicles in dense traffic situations. We present an asynchronous multi obstacle multi sensor tracking method that fuses information from radar and monocular vision. A low level fusion method is integrated into the framework of an IMMPDA Kalman filter. Real world experiments demonstrate that the system combines the complementary strengths of the employed sensors.


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    Title :

    IMMPDA vehicle tracking system using asynchronous sensor fusion of radar and vision


    Contributors:


    Publication date :

    2008-06-01


    Size :

    439202 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English