Abstract A method for finding road lanes using white lane markings is described. It is based on general techniques of object recognition. The lane markings are extracted as objects from the image using knowledge of their size, shape, and brightness. All possible lane boundaries that fit the markings based on the constraints of a road model are found. The correct set of lane boundaries is obtained by further application of the road model constraints. The technique is shown to be robust and can cope with markings that are intermittent, missing, or false.


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    Title :

    Finding Road Lane Boundaries for Vision-guided Vehicle Navigation


    Contributors:


    Publication date :

    1992-01-01


    Size :

    17 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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