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Uncertainty Models of Vision Sensors in Mobile Robot Positioning

Piotr Skrzypczyński

Year
2005
Citations
8
Access
Open access

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.

Keywords

Mobile robotRobotArtificial intelligenceComputer scienceMobile robot navigationPlan (archaeology)Computer visionOverhead (engineering)Machine visionReal-time computing

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