Improved noise covariance estimation in visual servoing using an autocovariance least-squares approach
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DOI: 10.1016/j.mechatronics.2020.102381
Abstract: Abstract Position based visual servoing is a widely adopted tool in robotics and automation. While the extended Kalman filter (EKF) has been proposed as an effective technique for this, it requires accurate noise covariance matrices… read more here.
Keywords: least squares; autocovariance least; noise covariance; visual servoing ... See more keywords