Obstacle detection during day and night conditions using stereo vision

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2007, Pages 109-116

  Dubbelman, Gijs ^a,b   Van Der Mark, Wannes ^a   Van Den Heuvel, Johan C ^a   Groen, Frans C A ^b  

^a TNO   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; INTELLIGENT ROBOTS; OBSTACLE DETECTORS; ROBOTICS; THREE DIMENSIONAL;

INTERNATIONAL CONFERENCES; OBSTACLE DETECTION;

STEREO VISION;

EID: 51349085104     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399055     Document Type: Conference Paper

References (17)

1. P. Bellutta, R. Manduchi, L. Matthies, K. Owens, and A. Rankin, "Terrain perception for DEMO III," in IEEE Intelligent Vehicles Conference, 2000, pp. 326-331.
2. A. Fusiello, E. Trueco, and A. Verri, "Recification with uneonstraint stereo gemometry," in British Machine Vision Conference, 1997.
3. J. Heikkilä and O. Sivén, "A four-step camera calibration procedure with implicit image correction," in IEEE Computer Vision and Pattern Recognition Conference, 1997, pp. 1106-1112.
4. H. Hirschmüller, P. Innocent, and J. Garibaldi, "Real-time correlation-based stereo vision with reduced border errors," IJCV, vol. 47, no. 1-3, pp. 229-246, 2002.
5. W. Kim, A. Ansar, R. Steele, and R. Steinke, "Performance analysis and validation of a stereo vision system," in IEEE Conference on Systems, Man and Cybernetics, vol. 2, 2005, pp. 1409-1416.
6. R. Manduchi, A. Castano, A. Talukder, and L. Matthies, "Detection and terrain classification for autonomous off-road navigation," Autonomous Robots, vol. 18, pp. 81-102, 2005.
7. W. v. d. Mark and D. Gavrila, "Real-time dense stereo for intelligent vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 1, pp. 38-50, 2006.
8. W. v. d. Mark, J. v. d. Heuvel, and F. Groen, "Stereo based obstacle detection with uncertainty in rough terrain," in IEEE Intelligent Vehicle Symposium, June 13-15 2007, pp. 1005-1012.
9. L. Matthies, A. Kelly, T. Litwin, and G. Tharp, "Obstacle detection for unmanned ground vehicles: a progress report," in IEEE Intelligent Vehicles Conference, 1995, pp. 66 - 71.
10. L. Matthies, T. Litwin, K. Owens, and et al, "Performance evaluation of ugv obstacle detection with ccd/flir stereo vision and ladar," in IEEE Workshop on Perception for Mobile Agents, 1998.
11. L. Matthies and A. Rankin, "Negative obstacle detection by thermal signature," in IEEE Intelligent Robots and Systems Conference, 2003, pp. 906-913.
12. H. Moravec, "Towards automatic visual obstacle avoidance," in Proceedings of the 5th International Joint Conference on Artificial Intelligence, 1977, p. 584.
13. K. Muhlmann, D. Maier, J. Hesser, and R. Männer, "Calculating dense disparity maps from color stereo images, an efficient implementation, " IJCV, vol. 47, no. 1-3, pp. 79-88, 2002.
14. M. O'Neill and M. Denos, "Automated system for coarse-to-fine pyramidal area correlation stereo matching," Image and Vision Computing, vol. 14, no. 3, pp. 225-236, 1996.
15. K. Owens and L. Matthies, "Passive night vision sensor comparison for unmanned ground vehicle stereo vision navigation," IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, p. 59, 1999.
16. D. Scharstein and R. Szeliski, "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms," IJCV, vol. 47, pp. 7-42, 2002.
17. R. Zabih and J. Woodfill, "Non-parametric local transforms for computing visual correspondence," in ECCV, vol. 2, 1994, pp. 151-158.