This paper describes the preceding vehicle and road lanes recognition methods for the rear-end collision avoidance system (RCAS) which the authors are developing. These methods are using an edge histogram method based on the model based vision concept. The edge histogram method can detect line elements of the objects stably with low calculation cost. When the region of interests for the preceding vehicle and road lanes in the image are established and their projected edge histograms are observed in time series order, the authors can recognize them. Furthermore, they apply Kalman Filter to their motions and predict their locations for time series detection. Using this stable recognition, the authors derive a collision time to control the on board brake system. The authors show the performance of these methods by experimental results.


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    Titel :

    Preceding vehicle and road lanes recognition methods for RCAS using vision system


    Weitere Titelangaben:

    Methoden zur Erkennung des voranfahrenden Fahrzeugs und der Fahrbahnspur mit Hilfe des maschinellen Sehens zur Vermeidung der Auffahrunfälle


    Beteiligte:
    Ito, T. (Autor:in) / Yamada, K. (Autor:in)


    Erscheinungsdatum :

    1994


    Format / Umfang :

    6 Seiten, 11 Bilder, 10 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Preceding Vehicle and Road Lanes Recognition Methods for RCAS Using Vision System

    Ito, T. / Yamada, K. / IEEE; Industrial Electronics Society | British Library Conference Proceedings | 1994



    Road Lane Recognition System for RCAS

    Yamada, K. / Ito, T. / Nishioka, K. et al. | British Library Conference Proceedings | 1996


    Road lane recognition system for RCAS

    Yamada, K. / Ito, T. / Nishioka, K. | IEEE | 1996


    RCAS RAILROAD COLLISION AVOIDANCE SYSTEM

    NEWLOVE ROD J / NEWLOVE DON C | Europäisches Patentamt | 2016

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