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Particle Filters for Mobile Robot  (Make Corrections)  
Localization Dieter Fox, Sebastian Thrun, Wolfram Burgard, and Frank Dellaert



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Abstract: This article describes a family of methods, known as Monte Carlo localization (MCL) (Dellaert at al. 1999b, Fox et al. 1999b). The MCL algorithm is a particle filter combined with probabilistic models of robot perception and motion. Building on this, we will describe a variation of MCL which uses a different proposal distribution (a mixture distribution) that facilitates fast recovery from global localization failures. As we will see, this proposal distribution has a range of advantages over... (Update)

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@misc{ fox-particle,
  author = "Localization Dieter Fox",
  title = "Particle Filters for Mobile Robot",
  url = "citeseer.ist.psu.edu/754297.html" }
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102   Markov localization for mobile robots in dynamic environment.. - Fox, Burgard et al. - 1999

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