We describe a fusion system that combines vision-data from a single forward-looking camera with forward-looking radar data for real-time forward collision warning in automobiles. Our approach employs computer vision techniques to primarily perform the detection and tracking of vehicles and overhead structure. These detections are then fused using a probabilistic framework with co-registered radar data to reliably obtain vehicle azimuth and depth by minimizing false alarms. The resulting detections can then be used as input to any forward collision warning system. Experimental results are presented to illustrate the performance of the algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A fusion system for real-time forward collision warning in automobiles


    Beteiligte:
    Srinivasa, N. (Autor:in) / Yang Chen, (Autor:in) / Daniell, C. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    499441 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Fusion System for Real-Time Forward Collision Warning in Automobiles

    Srinivasa, N. / Chen, Y. / Daniell, C. et al. | British Library Conference Proceedings | 2003



    A Vision-Based Vehicle Detection and Tracking Method for Forward Collision Warning in Automobiles

    Srinivasa, N. / INRIA / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003


    Intelligent forward collision warning system

    KASTNER ROBERT / KLEINEHAGENBROCK MARCUS / NISHIGAKI MORIMICHI et al. | Europäisches Patentamt | 2016

    Freier Zugriff