σ SLAM: Stereo vision SLAM using the rao-blackwellised particle filter and a novel mixture proposal distribution

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2006, Issue , 2006, Pages 1564-1570

  Elinas, Pantelis ^a   Sim, Robert ^a   Little, James J ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA TRAJECTORIES; DENSE METRIC MAPS; RAO-BLACKWELLISED PARTICLE FILTERS (RBPF);

CAMERAS; COMPUTER HARDWARE; MOBILE ROBOTS; MOTION ESTIMATION; OPTICAL FILTERS; SENSORS;

STEREO VISION;

EID: 33845681688     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2006.1641930     Document Type: Conference Paper

References (25)

1. D. G. Lowe, "Object recognition from local scale-invariant features," in Int. Conf. on Computer Vision, Corfu, Greece, September 1999, pp. 1150-1157.
2. H. P. Moravec and A. Elfes, "High resolution maps from wide angle sonar," in Proc. IEEE Int. Conf. on Robotics and Automation, 1985, pp. 116-121.
3. A. I. Eliazar and R. Parr, "DP-slam 2.0," in Proceedings of the 2004 IEEE International Conference on Robotics and Automation. New Orleans, LA: IEEE Press, 2004.
4. S. Thrun, M. Montemerlo, D. Koller, B. Wegbreit, J. Nieto, and E. Nebot, "Fastslam: An efficient solution to the simultaneous localization and mapping problem with unknown data association," Journal of Machine Learning Research, 2004, to appear.
5. V. Tucakov, M. Sahota, D. Murray, A. Mackworth, J. Little, S. Kingdon, C. Jennings, and R. Barman, "A stereoscopic visually guided mobile robot," in Proc. of Hawaii International Conference on Systems Sciences, 1997.
6. S. Se, D. G. Lowe, and J. J. Little, "Mobile robot localization and mapping with uncertainty using scale-invariant visual landmarks," Int. J. Robotics Research, vol. 21, no. 8, pp. 735-758, 2002.
7. T. D. Barfoot, "Online visual motion estimation using FastSLAM with SIFT features," Edmonton, Alberta, August 2005, pp. 3076-3082.
8. N. Karlsson, E. D. Bernardo, J. Ostrowski, L. Goncalves, P. Pirjanian, and M. E. Munich, "The vSLAM algorithm for robust localization and mapping," in IEEE Int. Conf. on Robotics and Automation (ICRA), Barcelona, Spain, April 2005, pp. 24-29.
9. A. J. Davison, "Real-time simultaneous localisation and mapping with a single camera," in Proc. International Conference on Computer Vision, Nice, Oct. 2003.
10. S. Thrun, "Robot mapping: A survey," Carnegie Mellon university, Technical Report CMU-CS-02-11, February 2002.
11. K. Murphy, "Bayesian map learning in dynamic environments," in Neural Information Processing Systems (NIPS), 1999, pp. 1015-1021.
12. A. Doucet, N. de Freitas, and N. Gordon, Sequential Monte Carlo in Practice. Springer-Verlag, 2001.
13. A. Doucet, N. de Freitas, K. Murphy, and S. Russell, "Rao- blackwellised particle filtering for dynamic bayesian networks," in Uncertainty in Artificial Intelligence, 2000.
14. R. Sim, P. Elinas, M. Griffin, and J. Little, "Vision-based SLAM using the Rao-Blackwellised Particle Filter," in IJCAI Workshop on Reasoning with Uncertainty in Robotics (RUR), Edinburgh, Scotland, 2005.
15. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge, UK: Cambridge Univ. Pr., 2000.
16. C. F. Olson, L. H. Matthies, M. Schoppers, and M. W. Maimone, "Rover navigation using stereo ego-motion," Robotics and Autonomous Systems, vol. 43, no. 4, p. 215, 2003.
17. D. Nister, O. Naroditsky, and J. Bergen, "Visual odometry," in Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), 2004, pp. 652-659.
18. J. Campbell, R. Sukthankar, and I. Nourbakhsh, "Techniques for evaluating optical flow for visual odometry in extreme terrain," in IEEE/RSJ Int. Workshop on Robots and Systems (IROS-04), Sendai, Japan, October 2004.
19. A. Levin and R. Szeliski, "Visual odometry and map correlation," in Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), Washington, DC, USA, 2004.
20. A. Milella and R. Siegwart. Stereo-based ego-motion estimation using pixel tracking and iterative closest point. Proceedings of the Fourth IEEE International Conference on Computer Vision Systems, ICVS'06, 2006, 2006, pp 21, Article number 1578709
21. D. Löwe, "Fitting parameterized three-dimensional models to images," IEEE Trans. Pattern Analysis Mach. Intell. (PAMI), vol. 13, no. 5, pp. 441-450, May 1991.
22. M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit, "FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges," in Proceedings of the Eighteenth Int. Joint Conf. on Artificial Intelligence (IJCAI-03). San Francisco, CA: Morgan Kaufmann Publishers, 2003, pp. 1151-1156.
23. P. Elinas and J. Little, "σMCL: Monte-Carlo localization for mobile robots with stereo vision," in Proceedings of Robotics: Science and Systems, Cambridge, MA, USA, 2005.
24. S. Thrun and D. Fox, "Monte carlo localization with mixture proposal distribution," in Proceedings of the AAAI National Conference on Artificial Intelligence, 2000.
25. K. S. Arun, T. S. Huang, and S. D. Blostein, "Least-squares fitting of two 3-d point sets," IEEE Trans. Pattern Anal. Mach. Intell., vol. 9, no. 5, pp. 698-700, 1987.