We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques.


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    Title :

    Real time detection of lane markers in urban streets


    Contributors:


    Publication date :

    2008-06-01


    Size :

    1409879 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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