The spherical simplex unscented transformation
By Simon Justin Julier. Proceedings of the 2003 American Control Conference, 2003., 2003
361 citations recorded by the source corpus.
Subfields: Applied Mathematics, Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/b8be4d5bd5bc5094bc834b7dfcec92430419569e
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In Applied Mathematics
In Artificial Intelligence
- S. Andrew Gadsden
- Jeffrey K. Uhlmann
- Dewen Hu
- Mei-ping Wu
- Yuanxin Wu
- Xiaoping Hu
- Yang Cheng
- Ming Xin
In Statistics and Probability
Citations in the corpus
- Sparse Gauss-Hermite Quadrature Filter with Application to Spacecraft Attitude Estimation (2011, background): “The different sigma-point-set selection strategies include the symmetric points [6], the minimal-skew simplex points [23], the spherical simplex points [24,25], the Schmidt orthogonalizationbased simplex set [26], and thosewithmore than 2n 1 sigmapoints for accuracy enhancement [27–29], where n is t”
- Unscented filtering and nonlinear estimation (2004, background): “Recently, we have investigated another set that places all of the sigma points at the same distance from the origin [50].”
- SMOOTH VARIABLE STRUCTURE FILTERING: THEORY AND APPLICATIONS (2011, background): “mber of weighted sample points (selected ,71], general unscented [34,83].”
- A Numerical-Integration Perspective on Gaussian Filters (2006, methodology): “The UKF using a set of simplex sigma points [41], [42], [21, App.”