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Position estimation for a mobile robot using vision and odometry

F. Chenavier, James L. Crowley

发表年份
2003
引用次数
244

摘要

The authors describe a method for locating a mobile robot moving in a known environment. This technique combines position estimation from odometry with observations of the environment from a mobile camera. Fixed objects in the world provide landmarks which are listed in a database. The system calculates the angle to each landmark and then orients the camera. An extended Kalman filter is used to correct the error between the observed and estimated angle to each landmark. Results from experiments in a real environment are presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

关键词

OdometryLandmarkComputer visionArtificial intelligenceKalman filterMobile robotComputer scienceVisual odometryPosition (finance)Robot

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