Lane Line Detection Optimization Algorithm based on Improved Hough Transform and R-least Squares with Dual Removal

In this study, an improved algorithm based on traditional Hough transform and least square method is proposed for lane line detection. In this paper, the road image is preprocessed to obtain the edge points of the lane line, and then two methods of lane line fitting are optimized to improve the accuracy and real-time performance of lane line detection. In the actual detection, a detection algorithm combining improved Hough transform and r-lsdr method is designed, and Kalman filter is used to track the lane line. The experimental results show that the optimized lane line detection algorithm improves the detection accuracy and operation efficiency.