The primary vision task in road-following for a mobile robot is to provide a description of the road environment, including possible obstacles on the road. Techniques are presented for road segmentation and obstacle detection based on color video data. Using constraints on road characteristics in the image space and in 3D color space, the road is extracted and represented by its edges. Assuming vehicle movement, obstacles are detected at a distance and an obstacle avoidance mode is entered.


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    Title :

    Color Road Segmentation And Video Obstacle Detection


    Contributors:

    Conference:

    Mobile Robots I ; 1986 ; Cambridge,MA,United States


    Published in:

    Publication date :

    1987-02-25





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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