[1]LU Man,CAI Zi-xing,LI Yi.A lane detection method based on road segmentation[J].CAAI Transactions on Intelligent Systems,2010,5(6):505-509.
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A lane detection method based on road segmentation

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 6 Page number: 505-509 Column: 学术论文—机器感知与模式识别 Public date: 2010-12-25
Title:
A lane detection method based on road segmentation
Author(s):
LU Man;  CAI Zi-xing;  LI Yi
School of Information Science and Engineering, Central South University, Changsha 410083, China
Keywords:
lane detection;  region segmentation;  probabilistic Hough transform;  ROI
CLC:
TP391.4
DOI:
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Abstract:
A lane detection method was developed based on road segmentation to satisfy the realtime and robustness requirements of an automated vehicle when driven on the highway. The proposed method was divided into two phases of road segmentation and lane detection. After extracting the color feature of the highway, the road segmentation phase quickly located the road region through searching connected regions of binary edge images and comparing the color feature of connected regions with the highway, and then set the road region as the region of interest (ROI) for lane detection. An improved probabilistic Hough transformation method was used to extract the lane pixels in the lane detection phase, and the least squares method was used for fitting the lane pixels to get the parameters of the lane model. Experiments show that the accuracy is improved 23% by the proposed method compared with the conventional method using standard Hough transformation, and linear pixels outside the road region were effectively ruled out. The proposed method has high robustness and realtime performance.
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