Browse > Article

Improving Lane Marking Detection by Combining Horizontal 1-D LoG Filtered Scale Space and Variable Thresholding  

Yoo, Hyeon-Joong (Dept. of IT Eng., Sangmyung University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.4, 2012 , pp. 85-94 More about this Journal
Abstract
Lane marking detection is essential to both ITS and DAS systems. The objective of this paper is to provide more robust technique for lane marking detection than traditional techniques by using scale-space technique. Variable thresholding that is based on the local statistics may be very effective for detecting such objects as lane markings that have prominent intensities. However, such techniques that only rely on local statistics have limitations containing irrelevant areas as well. We reduce the candidate areas by combining the variable thresholding result with cost-efficient horizontal 1D LoG filtered scale space. Through experiments using practical images, we could achieve significant improvement over the techniques based not only on the variable thresholding but also on the Hough transform that is another very popular technique for this purpose.
Keywords
Laplacian of Gaussian; variable thresholding; scale space; lane marking detection;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J.Crisman, "UNSCARF, a color vision system for the detection of unstructured roads," Proceedings of IEEE International Conference on Robotics and Automation, Sacramento, California, pp. 2496-2501, Apr 1991.
2 D. Dahyot, "Statistical Hough transform", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 31, no. 8, pp. 1502-1509, 2009.   DOI
3 김기석, 이진욱, 조재수, "허프 변환과 차선 모델을 이용한 효과적인 차선검출에 관한 연구", 대한전자공학회 2009년도 정보및제어심포지움, pp. 34-36, 2009.
4 이상영, 박래홍, "Hough Transform을 이용한 지식 기반 차선검출", 대한전자공학회 2003년도 하계종합학술대회, pp. 1988-1991, 2003.
5 K. Kluge, "Extracting road curvature and orientation from image edge points without perceptual grouping into features," Proceedings of IEEE Intelligent Vehicles Symposium, pp. 109-114, 1994.
6 A. Broggi and S. Berte, "Vision-based road detection in automotive systems: A real-time expectation-driven approach," Journal of Artificial Intelligence Research, pp.325-348, 1995.
7 B. Yu and A. Jain, "Lane boundary detection using a multiresolution hough transform," Proceedings of International Conference on Image Processing, pp.748-75, vol. 1, 26-29 Oct 1997.
8 B. Southall and C. J. Taylor, " Stochastic road shape estimation," Proceedings of IEEE International Conference on Computer Vision, Vancouver, BC, Canada, July 2001.
9 Q. Chen and H. Wang, "A Real-time Lane Detection Algorithm based on a Hyperbola-Pair Model", Intelligent Vehicles Symposium, pp. 510-515, Tokyo, Japan, June 13-15, 2006.
10 Marcos Nieto . Jon Arrospide Laborda . Luis Salgado, "Road environment modeling using robust perspective analysis and recursive Bayesian segmentation", Machine Vision and Applications, vol. 22, pp. 927-945, 2011.   DOI   ScienceOn
11 M. Kazui, M. Haseyama, and H. Kitajima, "The estimation of the vanishing point for automatic driving systems using a cross ratio," Systems and Computers in Japan, pp. 31-40, 2001.
12 M. Concel, Detection and tracking of vanishing points in dynamic environments, Ph.D. Thesis, 2010.
13 C. Kreucher and S. Lakshmanan, "LANA: a lane extraction algorithm that uses frequency domain features," IEEE Transactions on Robotics and automation, pp. 343-350, Apr 1999.
14 D. Guru, B. Shekar, A simple and robust line detection algorithm based on small eigenvalue analysis, Pattern Recognition Letters, vol. 25, no. 1, pp. 1-13, 2004.   DOI   ScienceOn
15 J. Crisman and C. Thorpe. "SCARF: A color vision system that tracks roads and intersections", Robotics and Automation, vol. 9, no. 1: 49-58, February 1993.   DOI   ScienceOn
16 A. K. Dawoud, S. G. Foda, and A. S. Tolba, ''A robust neural network multi-lane recognition system," Proceedings of the 12th International Conference on Microelectronics, pp. 178-182, 14-16 Dec 1998.
17 R. Risack, N. Mohler, and W. Enkelmann, "A video-based lane keeping assistant," Proceedings of IEEE Intelligent Vehicles Symposium, pp. 356-36, vol. 1, 3-5 Oct 2000.
18 http://www.mobileye.com
19 T. Lindberg, "Scale-space", Encyclopedia of Computer Science and Engineering (Benjamin Wah, ed), John Wiley and Sons, vol. IV, pp. 2495-2504, Hoboken, New Jersey, 2009.
20 R. Gonzalez and R. Woods, Digital Image Processing, 2ed., Pearson Eduction Inc., 2008.