Lane Detection Method Based on Color Feature

Lane detection technology is the basic module of safe and intelligent driving. It is conducive to lane path planning, determine the reasonable driving range, to ensure driving safety. Current research generally adopts machine vision to detect lane lines. Firstly, the region of interest (ROI) is separated from the collected image, and the detection area of the image is reduced. Secondly, HSV color space is used to extract specific color pixels by using the obvious color features of road lane lines. Then, the Laplacian of Gaussian (LOG) filtering method is used to remove the noise and ensure the precision of edge detection. Finally, the algorithm of Hough transform is optimized, and the experimental results show that the method can effectively locate the lane line.