This paper presents a system whose aim is to detect and classify road obstacles, like pedestrians and vehicles, by fusing data coming from different sensors: a camera, a radar, and an inertial sensor. The camera is mainly used to refine the vehicles’ boundaries detected by the radar and to discard those who might be false positives; at the same time, a symmetry based pedestrian detection algorithm is executed, and its results are merged with a set of regions of interest, provided by a Motion Stereo technique.


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    Title :

    Obstacle detection and classification fusing radar and vision


    Contributors:
    Bertozzi, M. (author) / Bombini, L. (author) / Cerri, P. (author) / Medici, P. (author) / Antonello, P. C. (author) / Miglietta, M. (author)


    Publication date :

    2008-06-01


    Size :

    1138714 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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