621 search results - page 9 / 125 » Parameter Estimation Using Kalman Filters with Constraints |
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
Stereo visual odometry and dense scene reconstruction depend critically on accurate calibration of the extrinsic (relative) stereo camera poses. We present an algorithm for contin...
GI
2009
Springer
13 years 4 months ago
2009
Springer
: This paper describes the passive emitter localization using Time Difference of Arrival (TDOA) measurements. It investigates various methods for estimating the solution of this no...
ICIP
2000
IEEE
14 years 8 months ago
2000
IEEE
We present a new motion estimation framework and apply it to omni-directional imagery. Our method estimates motions incrementally using an Implicit Extended Kalman Filter (IEKF). ...
ICIP
1997
IEEE
14 years 8 months ago
1997
IEEE
It is now quite common in the pel-recursive approaches for motion estimation, to find applications of the Kalman filtering technique both in time and frequency domains. In the blo...