Integrating global position estimation and position tracking for mobile robots: the dynamic Markov localization approach

@article{Burgard1998IntegratingGP,
  title={Integrating global position estimation and position tracking for mobile robots: the dynamic Markov localization approach},
  author={Wolfram Burgard and Andrcas Derr and Dieter Fox and Armin B. Cremers},
  journal={Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190)},
  year={1998},
  volume={2},
  pages={730-735 vol.2}
}
  • W. Burgard, Andrcas Derr, A. Cremers
  • Published 13 October 1998
  • Computer Science
  • Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190)
Localization is one of the fundamental problems of mobile robots. In order to efficiently perform useful tasks such as office delivery, mobile robots must know their position in their environment. Existing approaches can be distinguished according to the type of localization problem they are designed to solve. Tracking techniques aim at monitoring the robot's position. They assume that the position is initially known and cannot recover from situations in which they lost track of the robot's… 

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