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Accurate mobile robot dead-reckoning with a precision-calibrated fiber-optic gyroscope

Hakyoung Chung, Lauro Ojeda, J. Borenstein

Year
2001
Citations
145

Abstract

This paper describes two methods aimed at improving dead-reckoning accuracy with fiber-optic gyroscopes (FOGs) in mobile robots. The first method is a precision calibration procedure for FOGs, which effectively reduces the ill effects of nonlinearity of the scale-factor and temperature dependency. The second method is the implementation of an indirect feedback Kalman filter that fuses the sensor data from the FOG with the odometry system of the mobile robot. The paper also provides experimental results and compares the relative effectiveness of the two methods as implemented on a four-wheel drive/skidsteer Pioneer AT mobile robot.

Keywords

OdometryDead reckoningGyroscopeMobile robotKalman filterComputer scienceExtended Kalman filterFibre optic gyroscopeRobotArtificial intelligence

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