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CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
12 years 11 months ago
Decentralization of particle filters using arbitrary state decomposition
In this paper, a new particle filter (PF) which we refer to as the decentralized PF (DPF) is proposed. By first decomposing the state into two parts, the DPF splits the filtering p...
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson...
TSP
2011
104views more  TSP 2011»
12 years 11 months ago
Decentralized Particle Filter With Arbitrary State Decomposition
—In this paper, a new particle filter (PF) which we refer to as the decentralized PF (DPF) is proposed. By first decomposing the state into two parts, the DPF splits the filte...
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson...
UAI
2003
13 years 6 months ago
Decentralized Sensor Fusion with Distributed Particle Filters
This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized arch...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
ICPR
2008
IEEE
14 years 5 months ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...
ICASSP
2010
IEEE
13 years 4 months ago
Particle filter adaptation for distributed sensors via set membership
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...
Shahrokh Farahmand, Stergios I. Roumeliotis, Georg...