In this paper, an automatic control system based on "x-by-wire" is introduced for a wheeled heavy duty off-road vehicle. Moreover, a vision-based recognition algorithm of unstructured roads for this automated wheeled heavy duty off-road vehicle is presented to extract the complete feasible road area. The road recognition method consists of the multilayer perceptron self-supervised on-line learning and post-process based on a road model assumption. The experimental results show the effectiveness of the proposed system.


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    Title :

    Road recognition for a wheeled heavy duty off-road autonomous vehicle


    Contributors:
    Ye, Gang (author) / Xiong, Guangming (author) / Li, Ning (author) / Zhu, Min (author) / Gong, Jianwei (author)


    Publication date :

    2015-11-01


    Size :

    577626 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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