Uncertainty Models of Vision Sensors in Mobile Robot Positioning

Abstract

This paper discusses how uncertainty models of vision-based positioning sensors can be used to support the planning and optimization of positioning actions for mobile robots. Two sensor types are considered: a global vision with overhead cameras, and an on-board camera observing artificial landmarks. The developed sensor models are applied to optimize robot… (More)

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Cite this paper

@inproceedings{Skrzypczynski2005UncertaintyMO, title={Uncertainty Models of Vision Sensors in Mobile Robot Positioning}, author={Piotr Skrzypczynski}, year={2005} }