Knowledge of the position of traffic signs, lanes and the own vehicle is needed to decide whether a sign applies to oneself. This paper describes a system capable of tracking lanes and recognizing speed limit signs, both static ones and variable message signs. In addition a probabilistic approach mapping detected signs to lanes is presented which is able to correctly attribute signs to lanes even at great distance. All information is extracted from a monocular video camera.


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    Title :

    Recognition and attribution of variable message signs and lanes


    Contributors:


    Publication date :

    2008-06-01


    Size :

    1920724 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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