Curb reconstruction using conditional random fields

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2010, Pages 203-210

  Siegemund, Jan ^a   Pfeiffer, David ^b   Franke, Uwe ^b   Förstner, Wolfgang ^a  

^a UNIVERSITY OF BONN   (Germany)

^b DAIMLER AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3D POINT CLOUD; ADJACENT SURFACES; CONDITIONAL RANDOM FIELD; DENSE STEREO VISION; DRIVER ASSISTANCE SYSTEM; GENERIC FRAMEWORKS; LOOPY BELIEF PROPAGATION; REAL-WORLD SCENARIO; TWO-STEP APPROACH;

ALGORITHMS; AUTOMOBILE DRIVERS; IMAGE SEGMENTATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; STEREO VISION; THREE DIMENSIONAL;

CURBS;

EID: 77956496415     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2010.5548096     Document Type: Conference Paper

References (17)

1. H. Badino, U. Franke, and D. Pfeiffer, "The stixel world - a compact medium level representation of the 3d-world," in 31st DAGM Symposium, September 2009.
2. S. Se and M. Brady, "Vision-based detection of kerbs and steps," in 8th British Machine Vision Conference (BMVC), 1997, pp. 410-119.
3. R. O. Duda and P. E. Hart, "Use of the hough transformation to detect lines and curves in pictures," Comm. ACM, vol. 15, pp. 11-15, 1972.
4. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 8, no. 6, pp. 679-698, 1986.
5. R. Turchetto and R. Manduchi, "Visual curb localization for autonomous navigation," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 2, Oct. 2003, pp. 1336-1342.
6. X. Lu and R. Manduchi, "Detection and localization of curbs and stairways using stereo vision," in IEEE International Conference on Robotics and Automation (ICRA), April 2005, pp. 4648-4654.
7. F. Oniga, S. Nedevschi, and M. Meinecke, "Curb detection based on elevation maps from dense stereo," in IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), Sept. 2007, pp. 119-125.
8. -, "Curb detection based on a multi-frame persistence map for urban driving scenarios," in 11th International IEEE Conference on Intelligent Transportation Systems (ITSC), Oct. 2008, pp. 67-72.
9. J. D. Lafferty, A. McCallum, and F. C. N. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in 18th International Conference on Machine Learning (ICML). Morgan Kaufmann Publishers Inc., 2001, pp. 282-289.
10. C. Wojek and B. Schiele, "A dynamic conditional random field model for joint labeling of object and scene classes," in 10th European Conference on Computer Vision (ECCV), 2008, pp. 733-747.
11. P. Sturgess, K. Alahari, L. Ladicky, and P. Torr, "Combining appearance and structure from motion features for road scene understanding," in 20th British Machine Vision Conference (BMVC), 2009.
12. S. Gehrig, F. Eberli, and T. Meyer, "A real-time low-power stereo vision engine using semi-global matching," in International Conference on Computer Vision Systems, 2009.
13. H. Hirschmüller, "Accurate and efficient stereo processing by semiglobal matching and mutual information," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005.
14. H. Badino, U. Franke, and R. Mester, "Free space computation using stochastic occupancy grids and dynamic programming," in Workshop on Dynamical Vision (ICCV), October 2007.
15. F. Oniga, S. Nedevschi, M. M. Meinecke, and T. B. To, "Road surface and obstacle detection based on elevation maps from dense stereo," in IEEE Intelligent Transportation Systems Conference (ITSC), Sept. 30 - Oct. 3 2007, pp. 859-865.
16. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the em algorithm," Journal of the Royal Statistical Society. Series B, vol. 39, no. 1, pp. 1-38, 1977.
17. D. J. C. MacKay, Information Theory, Inference, and Learning Algorithms. Cambridge University Press, 2003.