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A Study on a Localization System for Tour Guide Robot

Jong‐Hwan Lim

发表年份
2012
引用次数
4

摘要

The localization system for tour guide robot was developed which is inevitable and important for the guide robot in order to guide the tourists and explain the history or contents of the site. The localization system is based on the non-inertial sensors such as a DGPS, Dead-Reckoning. The information of the DGPS is used to update the estimated positions from Dead Reckoning. The extended Kalman filter was used for the fusion of the measured information from the sensors and estimated positions by Dead Reckoning. The simulation results show that it is very reliable and the position error is bounded within a certain extend.

关键词

Dead reckoningKalman filterRobotInertial navigation systemComputer scienceComputer visionPosition (finance)Sensor fusionArtificial intelligenceExtended Kalman filter

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