Multiple Condensation filters for road detection and tracking

Pattern Analysis and Applications

Volumn 13, Issue 3, 2010, Pages 251-262

  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; Multiple Condensation tracker; Road tracking; Vanishing point

Indexed keywords

EID: 77955559653     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-010-0175-9     Document Type: Article

References (37)

1. Badenas J, Bober M, Pla F (2001) Segmenting traffic scenes from grey level and motion information. Pattern Anal Appl 4(1).
2. Messelodi S, Modena MC, Zanin M (2005) A computer vision system for the detection and classification of vehicles at urban road intersections. Pattern Anal Appl 8(1-2).
3. Bai, L., Wang, Y. and Tompkinson, W. (2004) Computer vision techniques for traffic flow computation, Pattern Analysis and Applications, vol 7(4).
4. Isard M. and Blake A. (1998) CONDENSATION: conditional density propagation for visual tracking. Int J Comput Vis.
5. Simond N. (2006) Reconstruction of the road plane with an embedded stereo-rig in urban environment. In: IEEE intelligent vehicle symposium.
6. McCall JC, Trivedi MM (2004) An integrated, robust approach to lane marking detection and lane tracking. In: Proceedings of IEEE intelligent vehicles symposium.
7. Wilson MB, Dickson S (1999) Poppet: a robust road boundary detection and tracking algorithm. In: British machine vision conference.
8. Smuda P, Schweiger R, Neumann H, Ritter W (2006) Multiple cue data fusion with particle filters for road course detection in vision systems. In: IEEE intelligent vehicles symposium.
9. Fascioli A. (1997) GOLD: a Parallel Real-Time Stereo Vision System for Generic Obstacle and Lane Detection, http://vislab. ce. unipr. it/GOLD/.
10. Crisman JD, Thorpe CE (1991) UNSCARF: a color vision system for the detection of unstructured roads. In: Proceedings of IEEE international conference on robotics and automation, Sacramento, California.
11. He Y, Wang H, Zhang B (2004) Color-based road detection in urban traffic scenes. In: IEEE transactions on intelligent transportation systems, vol 5, No 4.
12. Rasmussen C (2004) Texture-based vanishing point voting for road shape estimation. In: British machine vision conference.
13. Tsai H, Rasmussen C, Chang T, Shneier M (2002) 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.
14. Ke Q, Kanade T (2003) Transforming camera geometry to a virtual downward-looking camera: robust ego-motion estimation and ground-layer detection. In: IEEE international conference on computer vision and pattern recognition.
15. Lützeler M, Dickmanns ED (2000) EMS vision: recognition of intersections on unmarked road networks. In: Proceedings of the IEEE intelligent vehicles symposium, IEEE Computer Society, Washington, D. C., pp 302-307.
16. Rasmussen C. (2003) Road shape classification for detecting and negotiating intersections. In: IEEE intelligent vehicles symposium, IV-03, Columbus, OH.
17. Chapuis R, Aufrere R, Chausse F (2002) Accurate road following and reconstruction by computer vision. In: IEEE transactions on intelligent transportation systems, vol 3, No. 4.
18. Apostoloff N, Zelinsky A (2003) Robust vision based lane tracking using multiple cues and particle filtering. In: Proceedings of IEEE intelligent vehicles symposium, pp 558-563.
19. Wang Y, Teoh EK, Shen D (2004) Lane detection and tracking using B-Snake. Image Vis Comput 22: 269-280.
20. Yagi Y, Brady M, Kawasaki Y, Yachida M (2000) Active contour road model for smart vehicle. In: Proceedings of international conference on pattern recognition, vol 3, pp 819-822.
21. Southall B, Taylor CJ (2001) Stochastic road shape estimation, ICCV, vol 1, p 205.
22. Park JW, Lee JW, Jhang KY (2003) A lane-curve detection based on an LCF. Pattern Recogn Lett 24: 2301-2313.
23. Eidehall A, Gustafsson F (2006) Obtaining reference road geometry parameters from recorded sensor data. In: IEEE intelligent vehicles symposium.
24. McCall JC, Trivedi MM (2006) Video based lane estimation and tracking for driver assistance: survey, system and evaluation. IEEE Trans Intel Transp Syst 7(1): 20-37.
25. Guiducci A. (2000) Camera calibration for road application, In: Computer vision and image understanding, vol 79.
26. Chen Q, Wang H (2006) A real-time lane detection algorithm based on a hyperbola-pair model. In: IEEE intelligent vehicles symposium.
27. Wang Y, Bai L, Fairhurst M (2008) Robust road detection and tracking using condensation. IEEE Trans Intel Transp Syst 9(4): 570-579.
28. Weigel H, Cramer H, Wanielik G, Polychronopoulos A, Saroldi A (2006) Accurate road geometry estimation for a safe speed application. In: IEEE intelligent vehicles symposium.
29. Cramer H, Scheunert U, Wanielik G (2004) A new approach for tracking lanes by fusing image measurements with map data. In: IEEE intelligent vehicles symposium.
30. th SGAI international conference on artificial intelligence.
31. Cipolla R, Drummond T, Robertson D (1999) Camera calibration from vanishing points in images of architectural scenes, BMVC.
32. Robertson D, Cipolla R (2004) An image-based system for urban navigation, BMVC.
33. Cantoni V, Lombardi L, Porta M, Sicard N (2001) Vanishing point detection: representation analysis and new approaches. In: The 11th international conference on image analysis and processing.
34. Least Median of Squares http://www-sop. inria. fr/robotvis/personnel/zzhang/Publis/Tutorial-Estim/node25. html.
35. M-Estimators http://www-sop. inria. fr/robotvis/personnel/zzhang/Publis/Tutorial-Estim/node24. html.
36. Tarel JP, Guichard F (2000) Combined dynamic tracking and recognition of curves with application to road detection. In: Proceedings IEEE international conference on image processing, vol I, pp 216-219.
37. Guichard F, Tarel JP (1999) Curve finder combining perceptual grouping and a Kalman like fitting, ICCV.