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» A Smarter Particle Filter
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ATAL
2005
Springer
14 years 2 months ago
Approximating state estimation in multiagent settings using particle filters
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Prashant Doshi, Piotr J. Gmytrasiewicz
ICC
2007
IEEE
131views Communications» more  ICC 2007»
14 years 2 months ago
Experimental Deployment of Particle Filters in WiFi Networks
— Location tracking in wireless networks has many applications, including enhanced network performance. In this work we investigate the experimental use of “particle filter”...
Zawar Shah, Robert A. Malaney, Xun Wei, Keith Tai
IJCAI
2003
13 years 10 months ago
Variable Resolution Particle Filter
Particle filters are used extensively for tracking the state of non-linear dynamic systems. This paper presents a new particle filter that maintains samples in the state space a...
Vandi Verma, Sebastian Thrun, Reid G. Simmons
AROBOTS
2007
153views more  AROBOTS 2007»
13 years 8 months ago
An integrated particle filter and potential field method applied to cooperative multi-robot target tracking
We describe a novel method whereby a particle filter is used to create a potential field for robot control without prior clustering. We show an application of this technique to ...
Roozbeh Mottaghi, Richard T. Vaughan
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 3 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
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...
Jonathan Ko, Dieter Fox