Detecting car taillights at night is a task which can nowadays be accomplished very fast on cheap hardware. The authors rely on such detections to build a vision-based system that, coupling them in a rule-based fashion, is able to detect and track vehicles. This allows the generation of an interface that informs a driver of the relative distance and velocity of other vehicles in real time and triggers a warning when a potentially dangerous situation arises. They demonstrate the system using sequences shot using a camera mounted behind a car's windshield.


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    Title :

    Real-time vehicle tracking for driving assistance


    Additional title:

    Echtzeitfahrzeugverfolgung zur Fahrunterstützung


    Contributors:

    Published in:

    Publication date :

    2011


    Size :

    10 Seiten, 8 Bilder, 3 Tabellen, 16 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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