Lane Line Detection Technology Based on OpenCV for Specific Scenarios

Lane line detection is one of the important tasks of the environment perception system of autonomous vehicles, which must be very time sensitive and robust. To this end, this paper proposes a lane line detection implementation method based on the OpenCV platform, which can be applied to smart cars in specific places, mainly including image preprocessing and lane line detection and fitting. Applying morphological operations to the image preprocessing stage can effectively fill in the wear information of lane lines, and the least squares method is used to adjust lane lines after Hough transformation. The results show that the proposed method can improve the operation speed without affecting the accuracy of the algorithm, and has certain practicality.