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IWNAS
2006
IEEE
13 years 10 months ago
Comparisons of Three Kalman Filter Tracking Algorithms in Sensor Network
This paper compares extended Kalman filters with the P, PV and PVA dynamics models for object tracking in wireless network. Experiments shows that PVA achieves the best and P per...
Yifeng Zhu, Ali Shareef
BSN
2009
IEEE
136views Sensor Networks» more  BSN 2009»
13 years 11 months ago
Comparison of Orientation Filter Algorithms for Realtime Wireless Inertial Posture Tracking
—Advances in the miniaturisation of inertial sensors have allowed the design of compact wireless inertial orientation trackers. Such devices require data fusion algorithms to pro...
A. D. Young
AUTOMATICA
2006
104views more  AUTOMATICA 2006»
13 years 4 months ago
Optimal sensor placement and motion coordination for target tracking
This work studies optimal sensor placement and motion coordination strategies for mobile sensor networks. For a target tracking application with range sensors, we investigate the ...
Sonia Martínez, Francesco Bullo
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 8 months ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu
ECCV
2002
Springer
14 years 5 months ago
Using Robust Estimation Algorithms for Tracking Explicit Curves
The context of this work is lateral vehicle control using a camera as a sensor. A natural tool for controlling a vehicle is recursive filtering. The well-known Kalman fil...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...