Intersections are challenging locations for drivers. Complex situations are common due to the variety of road users and intersection layouts. This contribution describes a real time method for detecting and tracking vehicles at intersections using images captured by a static camera network. After background subtraction, the foreground segments are projected on a common fusion map. Using this fusion map, the pose, width, and height of the vehicles can be determined. After that, the detected objects are tracked by a Gaussian-Mixture approximation of the Probability Hypothesis Density filter. Results of the intersection perception can further be communicated to equipped vehicles by wireless communication.


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    Titel :

    Vehicle detection and tracking at intersections by fusing multiple camera views


    Beteiligte:
    Strigel, Elias (Autor:in) / Meissner, Daniel (Autor:in) / Dietmayer, Klaus (Autor:in)


    Erscheinungsdatum :

    2013-06-01


    Format / Umfang :

    1706193 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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