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This document discusses various implementations of discrete Bayes filters for probabilistic robot localization. It describes: 1) A piecewise constant representation that stores the belief as a probability grid. 2) The discrete Bayes filter algorithm for updating the belief based on perceptual or action data. 3) Methods for efficiently implementing the filter using a piecewise constant grid representation, including avoiding updating irrelevant state spaces and using a Gaussian kernel to update based o

Author

Rogers Sure

Language

EN