Sciweavers

Share
ICASSP
2011
IEEE
8 years 3 months ago
Distributed auxiliary particle filters using selective gossip
This paper introduces a distributed auxiliary particle filter for target tracking in sensor networks. Nodes maintain a shared particle filter by coming to a consensus about the ...
Deniz Üstebay, Mark Coates, Michael Rabbat
AROBOTS
2007
153views more  AROBOTS 2007»
8 years 11 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
JFR
2007
144views more  JFR 2007»
8 years 11 months ago
Real-Time SLAM with Octree Evidence Grids for Exploration in Underwater Tunnels
We describe a Simultaneous Localization and Mapping (SLAM) method for a hovering underwater vehicle that will explore underwater caves and tunnels, a true three dimensional (3D) e...
Nathaniel Fairfield, George Kantor, David Wettergr...
IJCAI
2003
9 years 21 days 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
HUMO
2007
Springer
9 years 1 months ago
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
Daniel Grest, Volker Krüger
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
9 years 4 months ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
CAEPIA
2003
Springer
9 years 4 months ago
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
Alvaro Soto
ROBOCUP
2004
Springer
117views Robotics» more  ROBOCUP 2004»
9 years 4 months ago
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
Cody C. T. Kwok, Dieter Fox
PCM
2004
Springer
168views Multimedia» more  PCM 2004»
9 years 4 months ago
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
Jianyu Wang, Debin Zhao, Shiguang Shan, Wen Gao
AUSAI
2004
Springer
9 years 4 months ago
Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking
Abstract. The particle filter has attracted considerable attention in visual tracking due to its relaxation of the linear and Gaussian restrictions in the state space model. It is...
Chunhua Shen, Anton van den Hengel, Anthony R. Dic...
books