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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    Titel :

    Recognition and attribution of variable message signs and lanes


    Beteiligte:


    Erscheinungsdatum :

    2008-06-01


    Format / Umfang :

    1920724 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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