FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that provably converges (2003)by M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit
Abstract:
In recent work, Montemerlo et al. proposed an algorithm called FastSLAM as an efficient and robust solution to the simultaneous localization and mapping problem. This paper describes a modified version of FastSLAM which overcomes important deficiencies of the original algorithm. We prove convergence of this new algorithm for linear SLAM problems and provide real-world experimental results that illustrate an order of magnitude improvement in accuracy over the original FastSLAM algorithm.
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M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit (2003). "FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that provably converges." Eighteenth International Joint Conference on Artificial Intelligence (IJCAI).
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Bibtex citation
@inproceedings{Montemerlo+al:IJCAI03,
title = {{FastSLAM} 2.0: {A}n Improved Particle Filtering Algorithm for Simultaneous
Localization and Mapping that provably converges},
author = {M. Montemerlo and S. Thrun and D. Koller and B. Wegbreit},
booktitle = {Eighteenth International Joint Conference on Artificial Intelligence (IJCAI)},
address = {Acapulco, Mexico},
month = {August},
year = 2003,
}
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