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CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
13 years 2 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley
ICPR
2008
IEEE
14 years 2 months ago
Edge-preserving unscented Kalman filter for speckle reduction
We propose a recursive spatial-domain speckle reduction algorithm for synthetic aperture radar (SAR) imagery based on the unscented Kalman filter (UKF) with a discontinuity-adapt...
Gorthi R. K. Sai Subrahmanyam, A. N. Rajagopalan, ...
ICIP
2002
IEEE
14 years 9 months ago
Parametric contour tracking using unscented Kalman filter
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
Yunqiang Chen, Thomas S. Huang, Yong Rui
IPMI
2009
Springer
14 years 8 months ago
Neural Tractography Using An Unscented Kalman Filter
We describe a technique to simultaneously estimate a local neural fiber model and trace out its path. Existing techniques estimate the local fiber orientation at each voxel indepen...
James G. Malcolm, Martha Elizabeth Shenton, Yogesh...
IJSR
2010
153views more  IJSR 2010»
13 years 4 months ago
A Bank of Unscented Kalman Filters for Multimodal Human Perception with Mobile Service Robots
A new generation of mobile service robots could be ready soon to operate in human environments if they can robustly estimate position and identity of surrounding people. Researcher...
Nicola Bellotto, Huosheng Hu