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» Distributed Kalman filtering based on quantized innovations
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ICRA
2007
IEEE
178views Robotics» more  ICRA 2007»
14 years 2 months ago
Distributed Cooperative Active Sensing Using Consensus Filters
— We consider the problem of multiple mobile sensor agents tracking the position of one or more moving targets. In our formulation, each agent maintains a target estimate, and ea...
Peng Yang, Randy A. Freeman, Kevin M. Lynch
TSP
2010
13 years 2 months ago
Energy efficient state estimation with wireless sensors through the use of predictive power control and coding
We study state estimation via wireless sensors over fading channels. Packet loss probabilities depend upon time-varying channel gains, packet lengths and transmission power levels ...
Daniel E. Quevedo, Anders Ahlén, Jan &Oslas...
ICRA
1994
IEEE
127views Robotics» more  ICRA 1994»
13 years 11 months ago
A Comparison of Position Estimation Techniques Using Occupancy Grids
A mobile robot requires perception of its local environment for both sensor based locomotion and for position estimation. Occupancy grids, based on ultrasonic range data, provide ...
Bernt Schiele, James L. Crowley
ICRA
2007
IEEE
190views Robotics» more  ICRA 2007»
14 years 2 months ago
A UPF-UKF Framework For SLAM
— In this paper we propose a SLAM framework which is based on an algorithm that combines an Unscented Particle Filter (UPF) and Unscented Kalman Filters (UKFs). A UPF is used to ...
Xiang Wang, Hong Zhang
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
14 years 2 months ago
Recursive state estimation for linear systems with mixed stochastic and set-bounded disturbances
Abstract— Recursive state estimation is considered for discrete time linear systems with mixed process and measurement disturbances that have stochastic and (convex) set-bounded ...
Toivo Henningsson