In this paper, we propose an efficient lane detection algorithm for lane departure detection; this algorithm is suitable for low computing power systems like automobile black boxes. First, we extract candidate points, which are support points, to extract a hypotheses as two lines. In this step, Haar-like features are used, and this enables us to use an integral image to remove computational redundancy. Second, our algorithm verifies the hypothesis using defined rules. These rules are based on the assumption that the camera is installed at the center of the vehicle. Finally, if a lane is detected, then a lane departure detection step is performed. As a result, our algorithm has achieved 90.16% detection rate; the processing time is approximately 0.12 milliseconds per frame without any parallel computing.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An efficient lane detection algorithm for lane departure detection


    Contributors:
    Jung, Heechul (author) / Min, Junggon (author) / Kim, Junmo (author)


    Publication date :

    2013-06-01


    Size :

    1716942 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    AN EFFICIENT LANE DETECTION ALGORITHM FOR LANE DEPARTURE DETECTION

    Jung, H. / Min, J. / Kim, J. et al. | British Library Conference Proceedings | 2013



    PORTABLE LANE DEPARTURE DETECTION

    WOJCIK MARCI RAMONA / SHWARTZ LARISA / SCHAEPERS DIRK et al. | European Patent Office | 2021

    Free access

    Portable lane departure detection

    WOJCIK MARCI RAMONA / SHWARTZ LARISA / SCHAEPERS DIRK et al. | European Patent Office | 2023

    Free access

    Approach to lane departure detection

    Jiang Gangyi, / Chen Yanhua, / Yu Mei, et al. | IEEE | 2000