This book is intended for students and practitioners of robotics working with noisy sensor data to estimate state variables. New edition highlights include a new chapter on variational inference and new sections on adaptive covariance estimation and on inertial navigation as well as a primer on matrix calculus.
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'State Estimation for Robotics - Barfoot, Timothy D. (University of Toronto)'.
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