The paper deals with object recognition in outdoor environments. In this type of environments, lighting conditions can not be controllet and predicted, objects can be partially occluded, and their position and orientation are not known a priori. The chosen type of objects is traffic and road signs, due to their usefulness for Driver Support Systems and Intelligent Autonomous Vehicles. A genetic algorithm is used for the detection, allowing an invariance localisation to changes in position, scale, rotation, weather conditions, partial occlusion, and the presence of other objects of the same colour. The algorithm has been programmed in MMX. This allows the algorithm to work in real time. The average time for one generation is 17 ms for Pentium III 359 Mhz processor.


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    Title :

    Traffic sign detection for driver support systems


    Additional title:

    Verkehrszeichenerkennung für Fahrerunterstützungssysteme


    Contributors:


    Publication date :

    2001


    Size :

    6 Seiten, 6 Bilder, 18 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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