Computer Science ›› 2017, Vol. 44 ›› Issue (2): 317-323.doi: 10.11896/j.issn.1002-137X.2017.02.055

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Real-time Lane Detection Algorithm Based on Inter-frame Correlation

LI Chao, LIU Hong-zhe, YUAN Jia-zheng and ZHENG Yong-rong   

  • Online:2018-11-13 Published:2018-11-13

Abstract: In order to meet the requirements of the real-time and robustness of lae detection algorithm,a real-time lane detection algorithm based on inter-frame correlation was proposed.According to the characteristics of the road image, noise is filtered out by median filter and the lane mark edge is extracted by adaptive threshold for lane detection firsly.Then,the original image is divided beyond the extraction process.It gets lane candidate lines by improving Hough transform and builds dynamic ROI.Finally,the lane line model by inter-frame correlation is updated and restricted.The results show that the operation amount of image data is simplified,the runtime of the algorithm is reduced,and the robustness of the algorithm is greatly improved.

Key words: Lane detection,Inter-frame correlation,Edge detection,Hough transform,Dynamic ROI

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