Monte Carlo localization for mobile robots

@article{Dellaert1999MonteCL,
  title={Monte Carlo localization for mobile robots},
  author={F. Dellaert and D. Fox and W. Burgard and S. Thrun},
  journal={Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C)},
  year={1999},
  volume={2},
  pages={1322-1328 vol.2}
}
  • F. Dellaert, D. Fox, +1 author S. Thrun
  • Published 1999
  • Computer Science
  • Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C)
To navigate reliably in indoor environments, a mobile robot must know where it is. Thus, reliable position estimation is a key problem in mobile robotics. We believe that probabilistic approaches are among the most promising candidates to providing a comprehensive and real-time solution to the robot localization problem. However, current methods still face considerable hurdles. In particular the problems encountered are closely related to the type of representation used to represent probability… Expand
1,541 Citations
Markov Localization for Reliable Robot Navigation and People Detection
  • 21
  • PDF
Probabilistic self-localization for mobile robots
  • C. Olson
  • Computer Science
  • IEEE Trans. Robotics Autom.
  • 2000
  • 218
  • PDF
Monte Carlo Localization: Efficient Position Estimation for Mobile Robots
  • 1,189
  • PDF
Fast Monte Carlo Localization using spatial density information
  • 9
Robust Monte Carlo localization for mobile robots
  • 1,890
  • PDF
Improved particle filter based localization and mapping techniques
  • 1
Localization with Improved Proposals
  • PDF
Robot localization in symmetric environment
  • 1
Effective application of Monte Carlo localization for service robot
  • 11
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 33 REFERENCES
Integrating global position estimation and position tracking for mobile robots: the dynamic Markov localization approach
  • W. Burgard, Andrcas Derr, D. Fox, A. Cremers
  • Computer Science, Engineering
  • Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190)
  • 1998
  • 177
  • PDF
Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids
  • 468
  • PDF
An experimental comparison of localization methods
  • Jens-Steffen Gutmann, W. Burgard, D. Fox, K. Konolige
  • Engineering, Computer Science
  • Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190)
  • 1998
  • 304
  • PDF
Probabilistic Robot Navigation in Partially Observable Environments
  • 612
  • PDF
A comparison of position estimation techniques using occupancy grids
  • B. Schiele, J. Crowley
  • Engineering, Computer Science
  • Proceedings of the 1994 IEEE International Conference on Robotics and Automation
  • 1994
  • 215
  • PDF
A comparison of position estimation techniques using occupancy grids
  • 92
  • PDF
AMOS: comparison of scan matching approaches for self-localization in indoor environments
  • J.-S. Gutmann, C. Schlegel
  • Computer Science
  • Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96)
  • 1996
  • 277
  • PDF
Acting under uncertainty: discrete Bayesian models for mobile-robot navigation
  • 565
Contour Tracking by Stochastic Propagation of Conditional Density
  • 1,448
An improved particle filter for non-linear problems
  • 339
...
1
2
3
4
...