Open Access Open Access  Restricted Access Subscription or Fee Access

A Novel Technique for Dead End and Bump Detection in Indian Road Images Using Color Segmentation and Knowledge Base Object Detection

Jyoti Y. Kulkarni, Dr.P.S. Hiremath, Dr. Jagadeesh Pujari

Abstract


Sudden variation in the surface of the road, sharp turn and irregular road makes it very difficult for safe driving and causes lot of accidents. The situation is more critical especially for vehicles moving with high speed. Sudden bumps or visual dead ends pose a very difficult situation and applying sudden break at those juncture leads to many accidents. So, any technique which can avoid such accidents need to be invented on urgent basis. With this background in view we have proposed to undertake a study by which it will be possible to suggest a novel, efficient technique for detecting the road dead ends, sharp turns and bumps. The technique is such that it segments the road part from the rest of the image, detects the end point of the road by using edge and texture properties and analyzes the end points which are at the far end of the image or much closer. The closer ending of the roads are further thresholded for detecting the dead ends. Bumps are detected by extracting the horizontal profile of the roads and by estimating the volume of horizontal profile. System is tested against the images of the roads taken across different parts of India using digital camera from a moving SUV running at a speed of 30km/h. Experiments show promising results in the detection of both bumps and dead ends.

Keywords


Bump Detection, Color Segmentation, Road Image Analysis, Dead End, Vanishing Points, Hough Transform.

Full Text:

PDF

References


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.

Po-Lun Lai and Alper Yilmaz, “A New Approach for Vanishing Line Estimation,” in ASPRS 2009 Annual Conference Baltimore, Maryland, March 9-13, 2009

Alvarez J. M., A. Lopez and R. Baldrich, “Illuminant-Invariant Model Based Road Segmentation,” in Intelligent Vehicles Symposium, 2008 IEEE, pp. 1175-1180.

Ondrej Chum and Jirı Matas, “Planar Affine Rectification from Change of Scale,” in ACCV, 2010.

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.

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.

Stephen se, “Zebra-crossing Detection for the Partially Sighted,” in Proceedings of the IEEE Conference, 2000, pp. 211-217.

Stuart Glaser, Eitan Marder-Eppstein, and William D. Smart, “Computationally Efficient Path-following Using Adaptive Color Models,” 2008.

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.

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.

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.

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.

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.

Mahzad Kalantari, Franck Jung, Jeanpierre Guedon, “Precise Automatic and Fast Method for Vanishing Point Detection,” in the Photogrammetric Record 24, 127, 2009.

Wlodzimierz Kasprzak, “Adaptive Methods of Moving Car Detection in Monocular Image Sequences, Machine Graphics & Vision,” vol. 9, no. 1/2, 2000, pp. 167 – 185.

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.

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.

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.

Vinay Pandit, Sudhir Gupta, K.S. Rajan, “Automatic Road Network Extraction Using High Resolution Multi-temporal Satellite Images,” in Proceedings of IEEE IGARSS, 2009.

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.

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.

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.

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.

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.

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.

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.

B. Brillault-O'Mahony. “New Method for Vanishing Point Detection,” in Journal Computer Vision, Graphics, and Image Processing, vol. 54, Issue. 2, Sept. 1991.

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,

L. Quan and R. Mohr, “Determining Perspective Structures Using Hierarchical Hough Transform,” in Pattern Recognition Letters, pp. 279-286, 1989.

Jiuxiang Hu, Razdan, A., Femiani, J., Wonka, P. and Ming Cui, “Fourier Shape Descriptors of Pixel Footprints for Road Extraction from Satellite Images,” in Proceedings of ICIP 2007, pp. 49-52.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.