This paper introduces a lane-departure identification (LDI) system of vehicles on a road with lane marks. The system perceives the LD by means of an artificial vision relying on an ad hoc approach like a boundary pixel extractor (BPE) to make up the robustness of machine vision. For the LDI,lane-related information composed of the direction and the position of lane boundaries in images is extracted. Then using the two parameters, it is determined whether or not a vehicle deviates from its lane. Except for the two parameters, the proposed system does not use any information such as lane width, a curvature,time to lane crossing, offset between the center of a lane and the center axis of a car body and other vehicle-related data. Besides, a camera calibration, any coordinate transformation, and a road model are not required. The system was demonstrated under various situations of changing illumination, in various road types without speed limits showing a quite good performance.


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    Title :

    A new approach for lane departure identification


    Contributors:
    Fardi, B. (author) / Scheunert, U. (author) / Cramer, H. (author) / Wanielik, G. (author)


    Publication date :

    2003-01-01


    Size :

    395675 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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