Uncertainty models of vision sensors in mobile robot positioning
International Journal of Applied Mathematics and Computer Science, Tome 15 (2005) no. 1, p. 73.

Voir la notice de l'article dans European Digital Mathematics Library

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 positioning actions in a distributed system of mobile robots and monitoring sensors, and to plan the sequence of actions for a robot cooperating with the external infrastructure supporting its navigation.
Classification : 93C85
Mots-clés : uncertainty, positioning, mobile robots, multi-agent systems, action planning, vision sensors 
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Piotr Skrzypczyński. Uncertainty models of vision sensors in mobile robot positioning. International Journal of Applied Mathematics and Computer Science, Tome 15 (2005) no. 1, p. 73. https://geodesic-test.mathdoc.fr/item/IJAMCS_2005__15_1_207730/