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» Parameter Estimation Using Kalman Filters with Constraints
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AR
2004
86views more  AR 2004»
13 years 6 months ago
Exact non-linear Bayesian parameter estimation for autonomous compliant motion
This paper presents theoretical and experimental results for the estimation of large position and orientation inaccuracies during force-controlled compliant motion. This is a signi...
Tine Lefebvre, Herman Bruyninckx, Joris De Schutte...
LOCA
2009
Springer
14 years 1 months ago
Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering
This paper presents two algorithms, non-linear regression and Kalman filtering, that fuse heterogeneous data (pseudorange and angle-of-arrival) from an ultra-wideband positioning ...
Kavitha Muthukrishnan, Mike Hazas
NOMS
2006
IEEE
169views Communications» more  NOMS 2006»
14 years 22 days ago
Real-Time Measurement of End-to-End Available Bandwidth using Kalman Filtering
—This paper presents a new method, BART (Bandwidth Available in Real-Time), for estimating the end-toend available bandwidth over a network path. It estimates bandwidth quasi-con...
Svante Ekelin, Martin Nilsson, Erik Hartikainen, A...
ICIP
2005
IEEE
14 years 8 months ago
Multi-step active object tracking with entropy based optimal actions using the sequential Kalman filter
We describe an enhanced method for the selection of optimal sensor actions in a probabilistic state estimation framework. We apply this to the selection of optimal focal lengths f...
Benjamin Deutsch, Heinrich Niemann, Joachim Denzle...
CVPR
2008
IEEE
14 years 8 months ago
A recursive filter for linear systems on Riemannian manifolds
We present an online, recursive filtering technique to model linear dynamical systems that operate on the state space of symmetric positive definite matrices (tensors) that lie on...
Ambrish Tyagi, James W. Davis