Road-following for ground vehicles has been widely studied and the solutions normally tracks line markings or a salient road edge. Most of the presented approaches are thus based on geometric or spectral models and does a fit of image data to the model to ensure robustness. For operation on unmarked roads under highly varying weather and light conditions a strategy is presented which is based on a probabilistic generative model. The method is evaluated on a number of test scenes and compared to well known methods from the literature.


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    Title :

    A method for following unmarked roads


    Contributors:


    Publication date :

    2005-01-01


    Size :

    1129974 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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