Tools and Algorithms for Mobile Robot Navigation with Uncertain Localization

Tools and Algorithms for Mobile Robot Navigation with Uncertain Localization

The ability for a mobile robot to localize itself is a basic requirement for reliable long range autonomous navigation. This thesis introduces new tools and algorithms to aid in robot localization and navigation. I introduce a new range scan matching method that incorporates realistic sensor noise...

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Bibliographic Details
Main Author: Kriechbaum, Kristopher Lars
Format: Others
Published: 2006
Online Access:https://thesis.library.caltech.edu/2363/1/kriechbaum-thesis.pdf
Kriechbaum, Kristopher Lars (2006) Tools and Algorithms for Mobile Robot Navigation with Uncertain Localization. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/R6YB-NQ21. https://resolver.caltech.edu/CaltechETD:etd-06012006-150109 <https://resolver.caltech.edu/CaltechETD:etd-06012006-150109>

Internet

https://thesis.library.caltech.edu/2363/1/kriechbaum-thesis.pdf
Kriechbaum, Kristopher Lars (2006) Tools and Algorithms for Mobile Robot Navigation with Uncertain Localization. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/R6YB-NQ21. https://resolver.caltech.edu/CaltechETD:etd-06012006-150109 <https://resolver.caltech.edu/CaltechETD:etd-06012006-150109>

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