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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    Title :

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


    Additional title:

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


    Contributors:
    Ito, T. (author) / Yamada, K. (author)


    Publication date :

    1994


    Size :

    6 Seiten, 11 Bilder, 10 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    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



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