A new stereo matching approach for real-time road obstacle detection for situations with deteriorated visibility

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2008, Pages 355-360

  El Ansari, Mohamed ^a,b   Mousset, Stéphane ^b   Bensrhair, Abdelaziz ^b  

^a IBN ZOHR UNIVERSITY   (Morocco)

^b University of Rouen   (France)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ENHANCEMENT; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; OBSTACLE DETECTORS; ROADS AND STREETS;

D SEARCHES; DISPARITY MAPS; FALSE MATCHES; MATCHING PROCESSES; OPTIMAL PATHS; REAL IMAGES; RIGHT HANDS; ROAD OBSTACLE DETECTIONS; SCAN LINES; SPEED-UP; STEREO IMAGES; STEREO MATCHING; STEREO PAIRS; WEATHER CONDITIONS;

OBJECT RECOGNITION;

EID: 57749198672     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2008.4621235     Document Type: Conference Paper

References (18)

1. G. Toulminet, M. Bertozzi, S. Mousset, A. bensrhair, and A. Broggi, Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis, IEEE Trans. Image Processing, vol. 15, NO. 8, 2006, pp. 2364-2375.
2. A. Bensrhair, M. Bertozzi, A. Broggi, P. Miché, S. Mousset, and G. Toulminet, "A cooperative approach to vision-based vehicle detection", in Proc. ITSC, Japan, October 2001.
3. U. Franke and A. Joos, "Real-time stereo vision for urban traffic scene understanding", in IEEE Intelligent Vehicle Symposium, Dearborn, USA, October 2000.
4. Q.-T. Luong, J. Weber, D. Koller, and J. Malik, "An integrated stereobased approach to automatic vehicle guidance", in Proc. of the 5th Int. Conf. on Computer Vision, Cambridge, MA, USA, June 1995. pp. 52-57.
5. U. R. Dhond and J. K. Aggarwal, Sructure from stereo - A review, IEEE Trans. on Syst. Man and Cybern., vol. 19. 1989, pp. 1489-1510.
6. S. Barnard and M. Fisher, Computational stereo, ACM Comput. Surveys, vol. 14, 1982, pp. 553-572.
7. A. Bensrhair, P. Miché, and R. Debrie, Fast and automatic stereo vision matching algorithm based on dynamic programming method. Pattern Recognition Letters, vol. 17, 1996, pp. 457-466.
8. Y. Otha and T. Kanade. Stereo by intra- and inter-scanline search using dynamic programming. IEEE Trans. Pattern Anal. Much. Intell, vol. 7, NO. 2, 1989, pp. 139-154.
9. P. Miché and R. Debrie. Fast and self-adaptive image segmentation using extended declivity, Ann. Télécommun., vol. 50, NO. 3-4, 1995, pp. 401-410.
10. M. Hariti, Y. Ruichek, and A. Koukam, "A voting stereo matching method for real-time obstacle detection", in Proc. of the 2003 IEEE Int. Conf. on Robotics & Automation, Taipei, Taiwan, September 14-19, 2003, pp. 1700-1704.
11. T. Quiguer, P. Miché and R. Debrie, "Segmentation method by self-adaptive thresholding", in Proc. Conf. of Image Analysis and Processing, Como, Italy, 1991, pp. 34-41.
12. R. Labayrade, D. Aubert, and J. P. Tarel, "Real time obstacle detection in stereo vision on non flat road geometry through v-disparity representation", In Proc. IEEE Intelligent Vehicle Symposium. Versailles, France, June 2002.
13. Stereo data for algorithms evaluation, available online: http://stereodatasets.wvandermak.com/
14. Wannes van der Mark and Dariu M. Gavrila, Real-time dense stereo for intelligent vehicles. IEEE Trans. Intelligent Transportation Systems. Vol. 7, NO. 1, 2006, pp. 38-50.
15. W. Middleton, Vision through the atmosphere, University of Toronto Press, 1952,
16. M. Bertozzi, A. Broggi, and A. Fascioli, Vision-based intelligent vehicles: State of the art and perspectives, Robotics and Autonomous Systems, Vol. 32, 2000, pp. 1-16.
17. N. Hautire, J.-P. Tarel, J. Lavenant, and D. Aubert, Automatic Fog Detection and Estimation of Visibility Distance through use of an Onboard Camera, Machine Vision and Applications Journal, 17(1):8-20, April 2006.
18. N. Hautire, R. Labayrade, and D. Aubert, Real-Time Disparity Contrast Combination for Onboard Estimation of the Visibility Distance, IEEE Transactions on Intelligent Transportation Systems, 7(2):201-212, June 2006.