Abstract
Lane line detection plays a guiding role in the safe driving of vehicles. A lane line detection algorithm is designed to improve the accuracy of the lane line detection system: First of all, precondition the road image. The preprocessing consists of the following algorithms: image grayscale processing, histogram equalization, median filtering, and Canny edge detection. Secondly, extract the region of interest (ROI) of the picture. Finally, realize the fitting of lane line through Hough transform. In this paper, use the Otsu algorithm to realize the threshold adaptation of the Canny algorithm. Then the lane line recognition is completed by Canny edge extraction and Hough transform.
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