A comparison of unscented and extended Kalman filtering for estimating quaternion motion
By J. Laviola. Proceedings of the 2003 American Control Conference, 2003., 2003
356 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/6765537a1c883d9ab6ced2446021d9abdf3c0975
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In Aerospace Engineering
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Citations in the corpus
- Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing (2011, methodology): “Moreover, there appears to be wide consensus that, in human body motion capture applications, although the EKF and the UKF may have roughly the same accuracy, the computational overhead of the UKF, the simplicity of the calculations of the Jacobian matrices, and the quasi-Gaussian nature of the post”
- Unscented Filtering in a Unit Quaternion Space for Spacecraft Attitude Estimation (2007, methodology): “In [11], the experiment which compares UKF and EKF for human head and hand orientation data represented with quaternions is presented.”
- Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing (2006, background): “This is interesting, since the EKF linearization may lead to filter instability unless suitably small sampling intervals are used [28], [30].”