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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    Titel :

    Real-time vehicle tracking for driving assistance


    Weitere Titelangaben:

    Echtzeitfahrzeugverfolgung zur Fahrunterstützung


    Beteiligte:
    Fossati, Andrea (Autor:in) / Schönmann, Patrick (Autor:in) / Fua, Pascal (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2011


    Format / Umfang :

    10 Seiten, 8 Bilder, 3 Tabellen, 16 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Real-time vehicle tracking for driving assistance

    Fossati, A. | British Library Online Contents | 2011


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    Freier Zugriff