Lane Line Detection Algorithm for Embedded Systems
The method of ROI cutting based on lane lines is proposed to reasonably remove useless parts of images,effectively reduce the area of image processing,and reduce the amount of calculation for subsequent image processing.In order to improve the efficiency of the algorithm,thresholding is used to segment the image,and Hough transform is used to detect the lane lines and ex-tract the effective information of the image.In order to accurately divide ROI regions,the method based on lane lines is adopted,which has strong applicability and high reliability.It can reduce the image area for the subsequent processing of the system and im-prove the real-time performance of the system.Experiments on real road images show that the proposed method is superior to tradi-tional filtering methods in terms of running time and detection accuracy,especially for embedded systems.
threshold segmentationROI cuttingthe lane lineembedded system
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