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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    Titel :

    Obstacle detection and classification fusing radar and vision


    Beteiligte:
    Bertozzi, M. (Autor:in) / Bombini, L. (Autor:in) / Cerri, P. (Autor:in) / Medici, P. (Autor:in) / Antonello, P. C. (Autor:in) / Miglietta, M. (Autor:in)


    Erscheinungsdatum :

    01.06.2008


    Format / Umfang :

    1138714 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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