Abstract
In this paper, a new method based on the OpenCV computer vision library is proposed and used for the detection of mountain bike lane lines. Firstly, a series of pre-processing, HLS color filtering, grayscale map conversion, etc. are performed on the images captured by the on-board camera. Next, the lane line image is processed by Gaussian blur noise reduction, Canney edge detection and other techniques. Then, after masking for the region of interest, the lane lines are fitted after applying the Hough transform to obtain a lane line image that can be used for detection. Finally, to enhance the visual effect, the fitted lane line image is filled and displayed superimposed with the original image. The experimental results show that the proposed method has high detection accuracy and efficiency in general mountain road scenarios, and it plays a certain role in assisting the driver to drive.
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