Aiming at the difficult problem of lane line detection for autonomous vehicles under shadow conditions, a lane line detection method combining illumination-independent graph and improved Canny edge detection is proposed. According to the principle of light-independent map, the logarithmic chromaticity ratio space projection is performed on all pixels on the color image to obtain a light-independent map, which eliminates the interference of light and shadow; the maximum inter-class variance method is improved to segment the lanes Line and road background; use Hough transform to fit lane lines. The experimental results show that the method can accurately detect the lane lines under shadow conditions, and can meet the real-time requirements.


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    Title :

    Research on Expressway Lane Line Recognition Under the Condition of Projected Shadow Occlusion


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wuhong (editor) / Guo, Hongwei (editor) / Jiang, Xiaobei (editor) / Shi, Jian (editor) / Sun, Dongxian (editor) / Hao, Li (author) / Xin, Li (author)

    Conference:

    International Conference on Green Intelligent Transportation System and Safety ; 2022 ; Qinghuangdao, China September 16, 2022 - September 18, 2022



    Publication date :

    2024-09-29


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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