An extended hyperbola model for road tracking for video-based personal navigation

Knowledge-Based Systems

Volumn 21, Issue 3, 2008, Pages 265-272

  Bai, Li ^a   Wang, Yan ^a   Fairhurst, Michael ^b  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Computer vision; Condensation filter; Road detection and tracking

Indexed keywords

MATHEMATICAL MODELS; NAVIGATION SYSTEMS; PARAMETER ESTIMATION; ROADS AND STREETS; VIDEO STREAMING;

CONDENSATION FILTERS; HYPERBOLA MODEL; ROAD DETECTION AND TRACKING;

TRACKING (POSITION);

EID: 40249117415     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2007.11.012     Document Type: Article

References (34)

1. Isard M., and Blake A. Condensation: conditional density propagation for visual tracking. Int. J. Comput. Vision 29 1 (1998) 5-28
2. Bai L., Tompkinson W., and Wang Y. Computer vision techniques for traffic flow computation. Journal of Pattern Analysis and Applications 7 (2005) 365-372
3. N. Simond, Reconstruction of the road plane with an embedded stereo-rig in urban environment, IEEE Intelligent Vehicle Symposium (2006).
4. J.C. McCall, M.M. Trivedi, An integrated, robust approach to lane marking detection and lane tracking, in: Proceedings of IEEE Intelligent Vehicles Symposium (2004).
5. P. Smuda, R. Schweiger, H. Neumann, W. Ritter, Multiple cue data fusion with particle filters for road course detection in vision systems, IEEE Intelligent Vehicles Symposium (2006).
6. A. Fascioli, GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection (1997). http://vislab.ce.unipr.it/GOLD/.
7. J.D Crisman, C.E. Thorpe, UNSCARF: a color vision system for the detection of unstructured roads, in: Proceedings of IEEE International Conference on Robotics and Automation, Sacramento, California. (1991).
8. He Y., Wang H., and Zhang B. Color-based road detection in urban traffic scenes. IEEE Transactions on Intelligent Transportation Systems 5 4 (2004)
9. C. Rasmussen, Texture-based vanishing point voting for road shape estimation, BMVC (2004).
10. H. Tsai, C. Rasmussen, T. Chang, M. Shneier, Road detection and tracking for autonomous mobile robots, in: Proceedings of the SPIE 16th Annual International Symposium on Aerospace/Defense Sensing, Simulation, and Controls, Orlando, Florid, USA (2002).
11. M. Lützeler, E.D. Dickmanns, EMS Vision: recognition of intersections on unmarked road networks, in: Proceedings of the IEEE Intelligent Vehicles Symposium, Washington, D.C., IEEE Computer Society (2000) 302-307.
12. C. Rasmussen, Road shape classification for detecting and negotiating intersections, in: IEEE Intelligent Vehicles Symposium, IV-03, Columbus, OH (2003).
13. Chen K., and Tsai W. Vision-based autonomous land vehicle guidance in outdoor road environments using combined line and road following techniques. J. Robotic Syst. 14 (1997) 711-728
14. Wang Y., Teoh E.K., and Shen D. Lane detection and tracking using B-Snake. Image Vision Comput. 22 (2004) 269-280
15. Y. Yagi, M. Brady, Y. Kawasaki, M. Yachida, Active contour road model for smart vehicle, in: Proceedings of the International Conference on Pattern Recognition 3 (2000) 819-822.
16. McCall J.C., and Trivedi M.M. Video based lane estimation and tracking for driver assistance: survey, system and evaluation. IEEE Transact. Intelligent Transport. Syst. 7 1 (2006) 20-37
17. Guiducci A. Camera calibration for road applications. Computer Vision and Image Understanding 79 (2000) 250-266
18. Q. Chen, H. Wang, A real-time lane detection algorithm based on a hyperbola-pair model, IEEE Intelligent Vehicles Symposium (2006).
19. B. Southall, C.J. Taylor, Stochastic Road Shape Estimation, ICCV, vol. 1 (2001).
20. Park J.W., Lee J.W., and Jhang K.Y. A lane-curve detection based on an LCF. Pattern Recognition Letters 24 (2003) 2301-2313
21. A. Eidehall, F. Gustafsson, Obtaining reference road geometry parameters from recorded sensor data, IEEE Intelligent Vehicles Symposium (2006).
22. H. Weigel, H. Cramer, G. Wanielik, A. Polychronopoulos, A. Saroldi, Accurate road geometry estimation for a safe speed application, IEEE Intelligent Vehicles Symposium (2006).
23. H. Cramer, U. Scheunert, G. Wanielik, A new approach for tracking lanes by fusing image measurements with map data, IEEE Intelligent Vehicles Symposium (2004).
24. Isard M., and Blake A. CONDENSATION: Conditional Density Propagation for Visual Tracking. International Journal of Computer Vision (1998)
25. R. Cipolla, T. Drummond, D. Robertson, Camera calibration from vanishing points in images of architectural scenes, BMVC (1999).
26. V. Cantoni, L. Lombardi M. Porta, N. Sicard, Vanishing point detection: representation analysis and new approaches, The 11th International Conference on Image Analysis and Processing (2001).
27. Chapuis R., Aufrere R., and Chausse F. Accurate road following and reconstruction by computer vision. IEEE Transactions on Intelligent Transportation Systems 3 4 (2002)
28. Least Median of Squares. Available from: http://www-sop.inria.fr/robotvis/personnel/zzhang/Publis/Tutorial-Estim/node25.html.
29. M-estimators. Available from: http://www-sop.inria.fr/robotvis/personnel/zzhang/Publis/Tutorial-Estim/node24.html.
30. J.P. Tarel, F. Guichard, Combined dynamic tracking and recognition of curves with application to road detection, in: Proceedings of IEEE International Conference on Image Processing I (2000) 216-219.
31. F. Guichard, J.P. TarelCurve finder combining perceptual grouping and a kalman like fitting, ICCV (1999).
32. Martin Tosas, Li Bai, Visual Tracking for Augmented Reality 16th European Conference on Artificial Intelligence, Valencia, Spain, August 2004.
33. Goldbeck J., Huertgen B., Ernst S., and KelchLane L. Following combining vision and DGPS. Image and Vision Computing 18 (2000) 425-433
34. J.P. Tarel, S.S. Ieng, P. Charbonnier, Using robust estimation algorithms for tracking explicit curves, ECCV, vol. I (2002) 492-507.