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Reseach Article

A Realtime Road Boundary Detection and Vehicle Detection for Indian Roads

by Ajit Danti, Jyoti Y. Kulkarni, P. S. Hiremath
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 4
Year of Publication: 2013
Authors: Ajit Danti, Jyoti Y. Kulkarni, P. S. Hiremath

Ajit Danti, Jyoti Y. Kulkarni, P. S. Hiremath . A Realtime Road Boundary Detection and Vehicle Detection for Indian Roads. International Journal of Applied Information Systems. 5, 4 ( March 2013), 25-35. DOI=10.5120/ijais12-450894

@article{ 10.5120/ijais12-450894,
author = { Ajit Danti, Jyoti Y. Kulkarni, P. S. Hiremath },
title = { A Realtime Road Boundary Detection and Vehicle Detection for Indian Roads },
journal = { International Journal of Applied Information Systems },
issue_date = { March 2013 },
volume = { 5 },
number = { 4 },
month = { March },
year = { 2013 },
issn = { 2249-0868 },
pages = { 25-35 },
numpages = {9},
url = { },
doi = { 10.5120/ijais12-450894 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-07-05T17:58:26.795943+05:30
%A Ajit Danti
%A Jyoti Y. Kulkarni
%A P. S. Hiremath
%T A Realtime Road Boundary Detection and Vehicle Detection for Indian Roads
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 5
%N 4
%P 25-35
%D 2013
%I Foundation of Computer Science (FCS), NY, USA

Traffic conditions in Indian urban and sub urban roads are in many ways not ideal for driving. This is due to faded and unmaintained lane markings. Therefore driving sometimes becomes difficult. Due to inappropriate markings of the roads, it is difficult to track the lane marking using conventional lane marking algorithms. Therefore the issue of Lane tracking with road boundary detection and other vehicle tracking for Indian road conditions is addressed here. The technique is based on modified road boundary detection which first segments the road area based on color segmentation and Hough transform is applied to find out the near vertical lines. Even in the absence of prominent lanes in the road, the segmentation line itself acts as boundary line. Further optical flow based vehicle detection is integrated with the system. When compared with conventional hough transform based lane detection this technique is proven to be more efficient in terms of accuracy. The method is tested with OpenCV under real time environment with Live Video frames. Results show accurate detection of road boundary, lanes and other vehicles under different road textures and varying intensity conditions.

  1. Gavrilovic Thomas, Ninot Jerome and Smadja Laurent, "Frequency Filtering and Connected Components Characterization for Zebra-crossing and Hatched Markings Detection," in Paparoditis N. , Pierrot-Deseilligny M, Mallet C, Tournaire O. (Eds), IAPRS, Vol. XXXVIII, Part 3A – Saint-Mande, France, September 1-3, 2010.
  2. Po-Lun Lai and Alper Yilmaz, "A New Approach for Vanishing Line Estimation," in ASPRS 2009 Annual Conference Baltimore, Maryland, March 9-13, 2009
  3. Alvarez J. M. , A. Lopez and R. Baldrich, "Illuminant-Invariant Model Based Road Segmentation," in Intelligent Vehicles Symposium, 2008 IEEE, pp. 1175-1180.
  4. Ondrej Chum and Jir? Matas, "Planar Affine Rectification from Change of Scale," in ACCV, 2010.
  5. J. D. Crisman and C. E. Thorpe, "UNSCARF-A Color Vision System for the Detection of Unstructured Roads," in Proceedings of IEEE International Conference on Robotics and Automation, California, April. 1991.
  6. J. D. Crisman and C. E. Thorpe, "SCARF: A Color Vision System that Tracks Roads and Intersections," in IEEE Transaction on Robotics and Automation, Feb. 1993, pp. 49-58.
  7. Stephen se, "Zebra-crossing Detection for the Partially Sighted," in Proceedings of the IEEE Conference, 2000, pp. 211-217.
  8. Stuart Glaser, Eitan Marder-Eppstein, and William D. Smart, "Computationally Efficient Path-following Using Adaptive Color Models," 2008.
  9. Michael Israd and Andrew Blake, "Contour Tracking by Stoichastic Propagation of Conditional Density," in Proc. European Conf. Computer Vision, Cambridge, UK, 1996, pp. 343-356.
  10. Yang Ming, Lu Jianye, Wang Hong, Zhang Bo, "Vision-based Real Time Vehicle Guidance on THMR-V, Part I: Unstructured road detection," in Proceedings of the International Symposium on Test and Measurement (ISTM'01), Shanghai, pp. 365-368, June 1-3, 2001.
  11. Nicolas Soquet and Didier Aubert, "Road Segmentation Supervised by an Extended V-Disparity Algorithm for Autonomous Navigation," in 2007 IEEE Intelligent Vehicles Symposium, pp. 160-165, June 2007.
  12. Geng Zhang, Nanning Zheng, Chao Cui, Yuzhen Yan and Zejian Yuan, "An Efficient Road Detection Method in Noisy Urban Environment," in Intelligent Vehicles Symposium, pp. 556-561, June 2009.
  13. Alberto Broggi and Simon Berte, "Vision-Based Road Detection in Automotive Systems: A Real Time Expectation-Driven Approach," Journal of Artificial Intelligence Research, pp. 326-348, 1995.
  14. Mahzad Kalantari, Franck Jung, Jeanpierre Guedon, "Precise Automatic and Fast Method for Vanishing Point Detection," in the Photogrammetric Record 24, 127, 2009.
  15. Wlodzimierz Kasprzak, "Adaptive Methods of Moving Car Detection in Monocular Image Sequences, Machine Graphics & Vision," vol. 9, no. 1/2, 2000, pp. 167 – 185.
  16. Ming-Yang Chern, Shi-Chong Cheng, "Finding Road Boundaries from the Unstructured Rural Road Scene," in 16th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2003), Kinmen 2003, pp. 786-793.
  17. Christopher Rasmussen, "Grouping Dominant Orientations for Ill-Structured Road Following," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04), vol. 1, 2004, pp. 470-477.
  18. Tai Sing Lee, "Image Representation Using 2d Gabor Wavelets," IEEE transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 10, pp. 959-971, Oct. 1996.
  19. Vinay Pandit, Sudhir Gupta, K. S. Rajan, "Automatic Road Network Extraction Using High Resolution Multi-temporal Satellite Images," in Proceedings of IEEE IGARSS, 2009.
  20. Barna Saha, Arya mazumdar, Nikhil R Pal, "Bidirectional Fuzzy-Regression Model for Road-lines Detection," in IEEE Conference on Engineering of Intelligent Systems, Islamabad, 2006. pp. 1-6.
  21. Hasan Fleyeh, "Color Detection and Segmentation for Road and Traffic Signs," in Proceedings of the IEEE Conference on cybernetics and intelligent systems, Singapore, Dec. 2004.
  22. Chin-teng Lin, Yu-Chen Huang, Ting-wei Mei, Her-Chang Pu, Chao-Ting Hong, "Multi-objects Tracking System Using Adaptive Background Reconstruction Technique and its Application to Traffic Parameters Extraction," in IEEE International conference on Systems, Man, and Cybernetics, Oct. 2006, Taipei, Taiwan.
  23. Zehang Sun, George Bebis and R. Miller, "On-Road Vehicle Detection Using Gabor Filters and Support Vector Machines," in 14th International Conference on Digital Signal Processing, Reno, NV, USA, 2002. pp. 1019-1022.
  24. Shanming Lin and Jun Tang Xuewu Zhang and Yanyun Lv, "Research on Traffic Moving Object Detection, Tracking and Track-generating," in Proceedings of the IEEE International Conference on Automation and Logistics, Shenyang, China, August 2009.
  25. Chuanzhao Han, Zhixin Zhou, Zhu Junjie, Ding Chibiao, "Road Extraction From High-Resolution Sar Image on Urban Area," in IEEE Conference on Geosciences and Remote Sensing Symposium, Denver, CO, IGARSS 2006, pp. 1454-1457.
  26. Shang-Jeng Tsai and Tsung-Ying Sun "The Robust and Fast Approach for Vision-based Shadowy Road Boundary Detection," in Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, Hualien, Taiwan, Sept. 13-16, 2005.
  27. B. Brillault-O'Mahony. "New Method for Vanishing Point Detection," in Journal Computer Vision, Graphics, and Image Processing, vol. 54, Issue. 2, Sept. 1991.
  28. R. T. Collins and R. S. Weiss "Vanishing Point Calculation as a Statistical Inference on the Unit Sphere," in Proceedings of the Third International Conference on Computer Vision, Osaka, Japan, Dec. 1990, pp. 400-403.
Index Terms

Computer Science
Information Sciences


Hough Transform Color Segmentation Boundary Detection Optical flow Vehicle Detection OpenCV