Tracking the spin on a ping pong ball with the quaternion Bingham filter
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Kaelbling_Tracking the.pdf
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612.24 KB
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Author(s)
Glover, Jared
Kaelbling, Leslie P.
Date Issued
May 2014
Journal
Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Glover, Jared, and Leslie Pack Kaelbling. “Tracking the Spin on a Ping Pong Ball with the Quaternion Bingham Filter.” 2014 IEEE International Conference on Robotics and Automation (ICRA) (May 2014).
Version
Author's final manuscript
Abstract
A deterministic method for sequential estimation of 3-D rotations is presented. The Bingham distribution is used to represent uncertainty directly on the unit quaternion hypersphere. Quaternions avoid the degeneracies of other 3-D orientation representations, while the Bingham distribution allows tracking of large-error (high-entropy) rotational distributions. Experimental comparison to a leading EKF-based filtering approach on both synthetic signals and a ball-tracking dataset shows that the Quaternion Bingham Filter (QBF) has lower tracking error than the EKF, particularly when the state is highly dynamic. We present two versions of the QBF- suitable for tracking the state of first- and second-order rotating dynamical systems.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICRA.2014.6907460
