关键词: 智能驾驶；车道线识别；OpenCV；霍夫变换

Abstract: With the rapid development of artificial intelligence technology, intelligent driving has become a hot field. As a key technology in the field of intelligent driving, lane detection technology is of great significance to accurately identify it. Aiming at the problem of straight lane recognition, a straight lane recognition algorithm based on OpenCV was designed. First, in order to improve the accuracy of detection, the color images of lane lines are read as gray images. Then the lane edge is extracted by Canny operator in edge detection algorithm. In order to further reduce the interference of lane recognition and improve the computing efficiency, the region of interest (ROI) of the image is set. Finally, the lane lines are fitted based on Hough transform, and the left and right lane lines are fitted respectively according to the slope range of the left and right lane lines. The OpenCv library is used to verify the algorithm, and the results show that the algorithm has good accuracy, and finally achieves the purpose of identifying lane lines.

Key words: Intelligent drive; Lane line recognition; OpenCV; Hough transform