Stereo-based free space computation in complex traffic scenarios

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Volumn , Issue , 2008, Pages 189-192

  Badino, Hernán ^a   Mester, Rudolf ^a   Vaudrey, Tobi ^b   Franke, Uwe ^c  

^a GOETHE UNIVERSITY   (Germany)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c DAIMLER AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

A-FRAMES; DEPTH INFORMATION; FREE SPACE; OCCUPANCY GRIDS; STEREO DISPARITY; STEREO INFORMATION; STEREO-BASED;

IMAGE ANALYSIS;

PROGRAM INTERPRETERS;

EID: 72649098416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSIAI.2008.4512317     Document Type: Conference Paper

References (13)

1. H. Badino, U. Franke, and R. Mester. Free space computation using stochastic occupancy grids and dynamic programming. In Workshop on Dynamical Vision, ICCV, Rio de Janeiro, Brazil, October 2007.
2. A. Elfes. Sonar-based real-world mapping and navigation. IEEE Journal of Robotics and Automation, RA-3(3):249-265, June 1987.
3. U. Franke. Real-time stereo vision for urban traffic scene understanding. In IEEE Conference on Intelligent Vehicles, Dearborn, October 2000.
4. U. Franke, S. Görzig, F. Lindner, D. Mehren, and F. Paet-zold. Steps towards an intelligent vision system for driver assistance in urban traffic. In Intelligent Transportation Systems, 1997.
5. U. Franke, C. Rabe, H. Badino, and S. Gehrig. 6d-vision: Fusion of stereo and motion for robust environment perception. In DAGM '05, Vienna, October 2005.
6. L. Matthies. Toward stochastic modeling of obstacle de-tectability in passive stereo range imagery. In Proceedings of CVPR, Champaign, IL (USA), December 1992.
7. L. Matthies, T. Kanade, and R. Szeliski. Kalman filter-based algorithms for estimating depth from image sequences. IJVC, 3(3):209-238, 1989.
8. J. Miura, Y. Negishi, and Y. Shirai. Mobile robot map generation by integrating omnidirectional stereo and laser range finder. In Proc. of IROS, 2002.
9. D. Murray and J. J. Little. Using real-time stereo vision for mobile robot navigation. Autonomous Robots, 8(2):161-171, 2000. (Pubitemid 30594909)
10. S. Nedevschi et al. A sensor for uban driving assistance systems based on dense stereovision. In Intelligent Vehicles Symposium, 2007.
11. rd DAGM Symposium, 2001.
12. S. Thrun, W. Burgard, and D. Fox. Probabilistic Robotics. The MIT Press, 2005.
13. T. Vaudrey, H. Badino, and S. Gehrig. Integrating disparity images by incorporating disparity rate. In 2nd Workshop Robot Vision, Auckland, New Zealand, February 2008. To appear.