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» Neural Tractography Using An Unscented Kalman Filter
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BMVC
2001
13 years 7 months ago
Model-Based Hand Tracking Using an Unscented Kalman Filter
Bjoern Stenger, Paulo R. S. Mendonça, Rober...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
13 years 11 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
IJSR
2010
153views more  IJSR 2010»
13 years 2 months ago
A Bank of Unscented Kalman Filters for Multimodal Human Perception with Mobile Service Robots
A new generation of mobile service robots could be ready soon to operate in human environments if they can robustly estimate position and identity of surrounding people. Researcher...
Nicola Bellotto, Huosheng Hu
IJRR
2006
120views more  IJRR 2006»
13 years 5 months ago
Vibration Estimation of Flexible Space Structures using Range Imaging Sensors
Future space applications will require robotic systems to assemble, inspect, and maintain large space structures in orbit. For effective planning and control, robots will need to ...
Matthew D. Lichter, Hiroshi Ueno, Steven Dubowsky
GI
2009
Springer
13 years 2 months ago
Gaussian Mixture (GM) Passive Localization using Time Difference of Arrival (TDOA)
: This paper describes the passive emitter localization using Time Difference of Arrival (TDOA) measurements. It investigates various methods for estimating the solution of this no...
Regina Kaune