• DOI:10.1613/jair.616
Corpus ID: 2445326

Markov Localization for Mobile Robots in Dynamic Environments

@article{Burgard1999MarkovLF,
  title={Markov Localization for Mobile Robots in Dynamic Environments},
  author={W. Burgard and D. Fox and S. Thrun},
  journal={ArXiv},
  year={1999},
  volume={abs/1106.0222}
}

• W. Burgard, D. Fox, S. Thrun
• Published 1999
• Computer Science
• ArXiv

Localization, that is the estimation of a robot's location from sensor data, is a fundamental problem in mobile robotics. This papers presents a version of Markov localization which provides accurate position estimates and which is tailored towards dynamic environments. The key idea of Markov localization is to maintain a probability density over the space of all locations of a robot in its environment. Our approach represents this space metrically, using a fine-grained grid to approximate… Expand

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