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Uncertainty models of vision sensors in mobile robot positioning

100%

Skrzypczyński P.

International Journal of Applied Mathematics and Computer Science

2005

tom 15

nr 1

73-88

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.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Skrzypczyński P.

1 2005

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Uncertainty models of vision sensors in mobile robot positioning