Monte Carlo localization for mobile robots

@article{Dellaert1999MonteCL,
  title={Monte Carlo localization for mobile robots},
  author={Frank Dellaert and Dieter Fox and Wolfram Burgard and Sebastian 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, S. Thrun
  • Published 10 May 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… 

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