Lane-line detection based on Night-time Environment
As the image is not very clear making it difficult to detect lane lines,a lane line detection algorithm in the night environment is proposed for the problem that the road is not well lit at night.The first part performs nighttime image enhancement.First,the detected image is double-filtered and noise-reduced,and the contrast of some areas is enhanced by comparing the values of different areas using a local histogram equalisation algorithm.Second,the image is enhanced by applying the Laplacian operator,the texture and details of the image are effectively enhanced.Finally,the overall image is corrected by using Gamma transformation.In the second part,the edge detection of the lane lines is performed:the processed image is edge detected by applying the Canny operator and the lane line part is fitted with the Progressive Probabilistic Hough Transform.The results show that the proposed algorithm has a strong ability to detect lane lines at night,which provides safety for intelligent driving.
image enhancementdouble filteringlane line detectionedge detection
万方数据
维普
