Continuous pose estimation for stereo vision based on UV disparity applied to visual odometry in urban environments

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2014, Pages 3983-3988

  Musleh, Basam ^a   Martin, David ^a   Armingol, Jose Maria ^a   De La Escalera, Arturo ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED DRIVER ASSISTANCE SYSTEMS; AUTOMOBILE DRIVERS; CAMERAS; COMPUTER VISION; ROBOTICS; STEREO IMAGE PROCESSING;

AUTO-CALIBRATION METHOD; AUTONOMOUS VEHICLES; EXTRINSIC PARAMETER; POSE ESTIMATION; STEREO VISION SYSTEM; URBAN ENVIRONMENTS; VISUAL ODOMETRY;

STEREO VISION;

EID: 84929180222     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2014.6907437     Document Type: Conference Paper

References (20)

1. T. Marita, F. Oniga, S. Nedevschi, T. Graf, and R. Schmidt,"Camera calibration method for far range stereovision sensors used in vehicles," in Intelligent Vehicles Symposium, 2006 IEEE. IEEE, 2006, pp. 356-363
2. S. Hold, C. Nunn, A. Kummert, and S. Muller-Schneiders,"Efficient and robust extrinsic camera calibration procedure for lane departure warning," in Intelligent Vehicles Symposium, 2009 IEEE. IEEE, 2009, pp. 382-387
3. A. Broggi, M. Bertozzi, and A. Fascioli,"Self-calibration of a stereo vision system for automotive applications," in Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on, vol. 4. IEEE, 2001, pp. 3698-3703
4. S. Hold, S. Gormer, A. Kummert, M. Meuter, and S. Muller-Schneiders,"A novel approach for the online initial calibration of extrinsic parameters for a car-mounted camera," in Intelligent Transportation Systems, 2009. ITSC09. 12th International IEEE Conference on. IEEE, 2009, pp. 1-6
5. S. Li and Y. Hai,"Easy calibration of a blind-spot-free fisheye camera system using a scene of a parking space," Intelligent Transportation Systems, IEEE Transactions on, vol. 12, no. 1, pp. 232-242, 2011
6. J. Collado, C. Hilario, A. de la Escalera, and J. Armingol,"Selfcalibration of an on-board stereo-vision system for driver assistance systems," in Intelligent Vehicles Symposium, 2006 IEEE. IEEE, 2006, pp. 156-162
7. R. Labayrade and D. Aubert,"A single framework for vehicle roll, pitch, yaw estimation and obstacles detection by stereovision," in Intelligent Vehicles Symposium, 2003. Proceedings. IEEE. IEEE, 2003, pp. 31-36
8. Q. Wang, Q. Zhang, and F. Rovira-Mas,"Auto-calibration method to determine camera pose for stereovision-based off-road vehicle navigation," Environment control in biology, vol. 48, no. 2, pp. 59-72, 2010
9. D. Scharstein and R. Szeliski,"A taxonomy and evaluation of dense two-frame stereo correspondence algorithms," International journal of computer vision, vol. 47, no. 1, pp. 7-42, 2002
10. R. Labayrade, D. Aubert, and J. Tarel,"Real time obstacle detection in stereovision on non flat road geometry through v-disparity representation," in Intelligent Vehicle Symposium, 2002. IEEE, vol. 2. IEEE, 2002, pp. 646-651
11. Z. Hu, F. Lamosa, and K. Uchimura,"A complete uv-disparity study for stereovision based 3d driving environment analysis," in 3-D Digital Imaging and Modeling, 2005. 3DIM 2005. Fifth International Conference on. IEEE, 2005, pp. 204-211
12. B. Musleh, A. de la Escalera, and J. M. Armingol,"U-v disparity analysis in urban environments," in Computer Aided Systems Theory EUROCAST 2011, ser. LNCS. Springer, 2012, vol. 6928, pp. 426-432
13. D. Scaramuzza and F. Fraundorfer,"Visual odometry [tutorial]," Robotics &Automation Magazine, IEEE, vol. 18, no. 4, pp. 80-92, 2011
14. F. Fraundorfer and D. Scaramuzza,"Visual odometry: Part ii: Matching, robustness, optimization, and applications," Robotics &Automation Magazine, IEEE, vol. 19, no. 2, pp. 78-90, 2012
15. B. Musleh, D. Martin, A. de la Escalera, and J. M. Armingol,"Visual ego motion estimation in urban environments based on uv disparity," in Intelligent Vehicles Symposium (IV), 2012 IEEE. IEEE, 2012, pp. 444-449
16. A. Geiger, P. Lenz, and R. Urtasun,"Are we ready for autonomous driving? the kitti vision benchmark suite," in Computer Vision and Pattern Recognition (CVPR), Providence, USA, June 2012
17. D. Lowe,"Distinctive image features from scale-invariant keypoints," International journal of computer vision, vol. 60, no. 2, pp. 91-110, 2004
18. M. Fischler and R. Bolles,"Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography," Communications of the ACM, vol. 24, no. 6, pp. 381-395, 1981
19. KIT. (2013) The kitti vision benchmark suite [Online]. Available: http://www.cvlibs.net/datasets/kitti/
20. S. J. Julier and J. K. Uhlmann,"New extension of the kalman filter to nonlinear systems," in AeroSense97. International Society for Optics and Photonics, 1997, pp. 182-193