An experimental comparison of localization methods

  title={An experimental comparison of localization methods},
  author={Jens-Steffen Gutmann and Wolfram Burgard and Dieter Fox and Kurt Konolige},
Localization is the process of updating the pose of a robot in an environment, based on sensor readings. In this experimental study, we compare two recent methods for localization of indoor mobile robots: Markov localization, which uses a probability distribution across a grid of robot poses; and scan matching, which uses Kalman filtering techniques based on matching sensor scans. Both these techniques are dense matching methods , that is, they match dense sets of environment features to an a… CONTINUE READING
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