Vision-based mapping with backward correction

IEEE International Conference on Intelligent Robots and Systems

Volumn 1, Issue , 2002, Pages 153-158

  Se, Stephen ^a   Lowe, David ^b   Little, Jim ^b  

^a MD Robotics   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; GLOBAL OPTIMIZATION; MOBILE ROBOTS;

LANDMARK UNCERTAINTY; MAP ALIGNMENT;

COMPUTER VISION;

EID: 0036448721     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. N. Ayache and O.D. Faugeras. Maintaining representations of the environment of a mobile robot. IEEE Transactions on Robotics and Automation, 5(6):804-819, 1989.
2. P.R. Bevington and D.K. Robinson. Data Reduction and Error Analysis for the Physical Sciences. McGraw-Hill, second edition, 1992.
3. M.A. Fischler and R.C. Bolles. Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography. Commun. Assoc. Comp. Mach., 24:381-395, 1981.
4. J. Guivant and E. Nebot. Optimization of the simultaneous localization and map building algorithm for real time implementation. IEEE Transactions on Robotics and Automation, 17(3):242-257, June 2001.
5. J. Gutmann and K. Konolige. Incremental mapping of large cyclic environments. In Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), California, November 1999.
6. J.J. Leonard and H.J.S. Feder. A computational efficient method for large-scale concurrent mapping and localization. In 9th International Symposium of Robotics Research, London, 1999. Springer-Verlag.
7. D.G. Lowe. Object recognition from local scale-invariant features. In Proceedings of the Seventh International Conference on Computer Vision (ICCV'99), pages 1150-1157, Kerkyra, Greece, September 1999.
8. F. Lu and E. Milios. Globally consistent range scan alignment for environment mapping. Autonomous Robots, 4:333-349, 1997.
9. S. Se, D. Lowe, and J. Little. Local and global localization for mobile robots using visual landmarks. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 414-420, Maui, Hawaii, October 2001.
10. S. Se, D. Lowe, and J. Little. Vision-based mobile robot localization and mapping using scale-invariant features. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 2051-2058, Seoul, Korea, May 2001.
11. R. Smith, M. Self, and P Cheeseman. A stochastic map for uncertain spatial relationships. In 4th International Symposium on Robotics Research. MIT Press, 1987.
12. S. Thrun, W. Burgard, and D. Fox. A probabilistic approach to concurrent mapping and localization for mobile robots. Machine Learning and Autonomous Robots (joint issue), 31(5):1-25, 1998.
13. S. Thrun, W. Burgard, and D. Fox. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3d mapping. In IEEE International Conference on Robotics and Automation (ICRA), San Francisco, CA, April 2000.
14. B. Triggs, P. McLauchlan, R. Hartley, and A. Fitzgibbon. Bundle adjustment - a modern synthesis. In A. Zisserman and R. Szeliski, editors, Vision Algorithms: Theory and Practice. Springer-Verlag LNCS 1883, 2000.