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This paper proposes a localization system for indoor mobile robots. The localization system includes a camera and artificial landmarks for global positioning, and encoders and gyro sensors for local positioning. The Kalman filter is applied to take into account the stochastic errors of all sensors. Also, we develop a dead reckoning system to estimate the(More)
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