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An Efficient Method for Real-Time Broken Lane Tracking Using PHT and Least-Square Method  

Xu, Sudan (군산대학교 컴퓨터정보공학과)
Lee, Chang-Woo (군산대학교 컴퓨터정보공학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.14, no.6, 2008 , pp. 619-623 More about this Journal
Abstract
A lane detection system is one of the major components of intelligent vehicle systems. Difficulties in lane detection mainly come from not only various weather conditions but also a variety of special environment. This paper describes a simple and stable method for the broken lane tracking in various environments. Probabilistic Hough Transform (PHT) and the Least-square method (LSM) are used to track and correct the lane orientation. For the efficiency of the proposed method, two regions of interest (ROIs) are placed in the lower part of each image, where lane marking areas usually appear with less intervention in our system view. By testing in both a set of static images and video sequences, the experiments showed that the proposed approach yielded robust and reliable results.
Keywords
Broken lane detection and tracking; ROI; LSM; PHT;
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  • Reference
1 Hao Zhang, Dibo Hou, and Zekui Zhou, "A Novel Lane Detection Algorithm Based on support Vector Symposium 2005, Hangzhou, China, August 22-26
2 T. Sun, S. Tsai and V. Chan, "HSI Color Model Based Lane-Marking Detection," IEEE Intelligent Transportation Systems Conference Toronto, Canada, September 17-20, 2006
3 Yue Wang, Dinggang Shen and Eam Khwang Teoh, "Lane Detection Using Catmull-Rom Spline," IEEE International Conference on Intelligent Vehicles, 1998
4 Yue Wang, Eam Khwang Teoh and Dinggang Shen, "Lane Detection Using B-Snake," 0-7695-0446-9 /99 $10.00 0 1999 IEEE, 1999
5 ZuWhan Kim, "Robust Lane Detection and Tracking in Challenging Scenarios," 2007 IEEE Transactions on Intelligent Transportation Systems VOL.8 NO.4, December 2007
6 Herve Abdi, "The Method of Least Squares,: http://www.utd.edu/~herve
7 Gu Jieyu, Ye Xiuqing, Gu Weikang, "A Real-time Lane Detection in Structural Road," Chinese Journal of Sensors and Actuators, Vol.18, No.3, Sep.2005
8 N. Kiryati, Y. Eldar and A.M. Bruckstein, "A Probabilistic Hough Transform," Pattern Recognition Vol.24, pp. 303-316, 1991   DOI   ScienceOn
9 Andrew Reed Bacha, "Line Detection and Lane Following for an Autonomous Mobile Robot," IGVC Intelligent Ground Vehicle Competition, 2004
10 Hong Wang and Qiang Chen, "Real-time Lane Detection in Various Conditions and Night cases," 2006 IEEE Intelligent Transportation Systems Conference Toronto, Canada, September 17-20, 2006.