Open Access. Powered by Scholars. Published by Universities.®
Missouri University of Science and Technology
<p>Artificial satellites -- Attitude control systems -- Design<br />Space vehicles -- Attitude control systems -- Design<br />Mobile robots<br />Bayesian statistical decision theory<br />Navigation</p>
Articles 1 - 1 of 1
Full-Text Articles in Engineering
Bayesian Inference For Dynamic Pose Estimation Using Directional Statistics, Jacob E. Darling
Bayesian Inference For Dynamic Pose Estimation Using Directional Statistics, Jacob E. Darling
Doctoral Dissertations
"The dynamic pose of an object, where the object can represent a spacecraft, aircraft, or mobile robot, among other possibilities, is defined to be the position, velocity, attitude, and angular velocity of the object. A new method to perform dynamic pose estimation is developed that leverages directional statistics and operates under the Bayesian estimation framework, as opposed to the minimum mean square error (MMSE) framework that conventional methods employ. No small attitude uncertainty assumption is necessary using this method, and, therefore, a more accurate estimate of the state can be obtained when the attitude uncertainty is large.
Two new state …