A lane mark recognition system that processes images taken by a camera for a Lane Keeping Assist System (LKAS) has been developed. The following conclusions were reached concerning the development of a new lane mark recognition algorithm that combines Hough transformation with extraction of positive and negative edges, which are used as characteristic of lane marks: (1) Eliminating extraneous linear components (noise) and using customized computer chips to repeat simple calculations speeds up processing and made possible the development of a lane mark recognition system that can recognize, in real time, double broken line lane marks and lane marks in turnouts and other complex situations on actual expressways. (2) Testing of the system on images of an actual expressway yielded a high rate of recognition and showed position accuracy to also be of a level sufficient for steering control.


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    Title :

    Development of a lane mark recognition system for a lane keeping assist system


    Additional title:

    Entwicklung eines Fahrbahnmarkierungs-Erkennungssystems für ein Spurhaltungs-Assistenzsystem


    Contributors:
    Mineta, K. (author) / Unoura, K. (author) / Ikeda, T. (author)


    Publication date :

    2003


    Size :

    9 Seiten, 18 Bilder, 1 Tabelle, 5 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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