Dynamic maps in Monte Carlo Localization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3501 LNAI, Issue , 2005, Pages 1-12

  Milstein, Adam ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; MONTE CARLO METHODS; MOTION ESTIMATION; ROBOTS; SENSORS; TRACKING (POSITION);

BAYESIAN FORMULATION; DYNAMIC MAPS; INPUTS; MONTE CARLO LOCALIZATION;

SELF ORGANIZING MAPS;

EID: 26944495310     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11424918_1     Document Type: Conference Paper

References (13)

1. A. Milstein, J. Sanchez, and E.Williamson. Robust global localization using clustered particle filtering. In AAAI-02.
2. D. Avots, E. Lim, R. Thibaux, and S. Thrun. A probabilistic technique for simultaneous localization and door state estimation with mobile robots in dynamic environments. In IROS-2002.
3. Thrun, S. 2000. Probabilistic Algorithms in Robotics. School of Computer Science, Carnegie Mellon University. Pittsburgh, PA.
4. Thrun, S.; Montemerlo, M.; and Whittaker, W. 2002. Conditional Particle filters for Simultaneous Mobile Robot Localization and People-Tracking. Forthcoming.
5. M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit. FastSLAM: A factored solution to the simultaneous localization and mapping problem. In AAAI-02.
6. Thrun, S.; Fox, D.; Burgard, W.; and Dellaert, F. 2001. Robust Monte Carlo Localization for Mobile Robots. Artificial Intelligence Magazine.
7. J.Liu and R. Chen. 1998. Sequential monte carlo methods for dynamic systems. Journal of the American Statistical Association 93:1032-1044.
8. Borenstein, J.; Everett, B.; and Feng, L. 1996. Navigating Mobile Robots: Systems and Techniques. A.K. Peters, Ltd. Wellesley, MA.
9. Thrun, S.; Fox, D.; and Burgard, W. 2000. Monte Carlo Localization with Mixture Proposal Distribution. In Proceedings of the AAAI National Conference on Artificial Intelligence, Austin, TX.
10. Thrun, S.; Particle Filters in Robotics. In Proceedings of Uncertainty in AI 2002.
11. M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul. In M. I. Jordan (Ed.); An introduction to variational methods for graphical models. Learning in Graphical Models, Cambridge: MIT Press, 1999.
12. Fox, D.; Burgard, W. and Thrun, S.; Markov Localization for Mobile Robots in Dynamic Environments. In Journal of Artificial Intelligence Research, 1999.
13. Hähnel, D.; Triebel, R.; Burgard, W. and Thrun, S.; Map building with mobile robots in dynamic environments. In ICRA, 2003.