Hierarchical linear/constant time SLAM using particle filters for dense maps

Advances in Neural Information Processing Systems

Volumn , Issue , 2005, Pages 339-346

  Eliazar, Austin I ^a   Parr, Ronald ^a  

^a Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM PARAMETERS; ASYMPTOTIC COMPLEXITY; FINITE NUMBER; HIERARCHICAL APPROACH; LINEAR TIME; LOCALIZATION ALGORITHM; MULTIPLE HYPOTHESIS; PARTICLE FILTER; PARTICLE FILTERING PROCESS; SIMULTANEOUS LOCALIZATION AND MAPPING;

ALGORITHMS; DISTRIBUTED COMPUTER SYSTEMS; NONLINEAR FILTERING; TARGET TRACKING;

ROBOTICS;

EID: 33947508056     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. W. Burgard, D. Fox, H. Jans, C. Matenar, and S. Thrun. Sonar-based mapping with mobile robots using EM. In Proc. of the International Conference on Machine Learning, 1999.
2. P. Cheeseman, P. Smith, and M. Self. Estimating uncertain spatial relationships in robotics. In Autonomous Robot Vehicles, pages 167-193. Springer-Verlag, 1990.
3. N. de Freitas, R. Dearden, F. Hutter, R. Morales-Menendez, J. Mutch, and D. Poole. Diagnosis by a waiter and a Mars explorer. In IEEE Special Issue on Sequential State Estimation, pages 455-468, 2003.
4. A. Eliazar and R. Parr. DP-SLAM 2.0. In IEEE International Conference on Robotics and Automation (ICRA), 2004.
5. Shai Fine, Yoram Singer, and Naftali Tishby. The hierarchical hidden markov model: Analysis and applications. Machine Learning, 32(1):41-62, 1998.
6. Dieter Fox, Wolfram Burgard, Frank Dellaert, and Sebastian Thrun. Monte carlo localization: Efficient position estimation for mobile robots. In AAAI-99, 1999.
7. J. Gutmann and K. Konolige. Incremental mapping of large cyclic environments. In IEEE International Symposium on Computational Intelligence in Robotics and Automation (ICRA), pages 318-325, 2000.
8. Dirk Hahnel, Wolfram Burgard, Dieter Fox, and Sebastian Thrun. An efficient fastslam algorithm for generating maps of large-scale cyclic environments from raw laser range measurements. In Proceedings of the International Conference on Intelligent Robots and Systems, 2003.
9. John H. Leonard, and Hugh F. Durrant-Whyte. Mobile robot localization by tracking geometric beacons. In IEEE Transactions on Robotics and Automation, pages 376-382. IEEE, June 1991.
10. 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 IJCAI-03, Morgan Kaufmann, 2003. 1151-1156.
11. J. Nieto, J. Guivant, and E. Nebot. The HYbrid Metric Maps (HYMMS): A novel map representation for denseSLAM. In IEEE International Conference on Robotics and Automation (ICRA), 2004.
12. S. Thrun. A probabilistic online mapping algorithm for teams of mobile robots. International Journal of Robotics Research, 20(5):335-363, 2001.