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» A Basic Convergence Result for Particle Filtering
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TSP
2008
129views more  TSP 2008»
13 years 3 months ago
A Basic Convergence Result for Particle Filtering
The basic nonlinear filtering problem for dynamical systems is considered. Approximating the optimal filter estimate by particle filter methods has become perhaps the most common a...
Xiao-Li Hu, Thomas B. Schön, Lennart Ljung
IJCAI
2003
13 years 5 months ago
FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges
Proceedings of IJCAI 2003 In [15], Montemerlo et al. proposed an algorithm called FastSLAM as an efficient and robust solution to the simultaneous localization and mapping proble...
Michael Montemerlo, Sebastian Thrun, Daphne Koller...
KES
2007
Springer
13 years 10 months ago
Fuzzy Adaptive Particle Filter for Localization of a Mobile Robot
Localization is one of the important topics in robotics and it is essential to execute a mission. Most problems in the class of localization are due to uncertainties in the modelin...
Young-Joong Kim, Chan-Hee Won, Jung-Min Pak, Myo-T...
ICPR
2006
IEEE
14 years 5 months ago
Target Model Estimation using Particle Filters for Visual Servoing
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
A. H. Abdul Hafez, C. V. Jawahar
ICAT
2003
IEEE
13 years 9 months ago
Head Motion Prediction in Augmented Reality Systems Using Monte Carlo Particle Filters
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...