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ICRA
2002
IEEE
164views Robotics» more  ICRA 2002»
13 years 9 months ago
Conditional Particle Filters for Simultaneous Mobile Robot Localization and People-Tracking
Abstract—This paper presents a probabilistic algorithm for simultaneously estimating the pose of a mobile robot and the positions of nearby people in a previously mapped environm...
Michael Montemerlo, Sebastian Thrun, William Whitt...
CEC
2007
IEEE
13 years 8 months ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...
ICML
2005
IEEE
14 years 5 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh
ICASSP
2011
IEEE
12 years 8 months ago
Distributed Gaussian particle filtering using likelihood consensus
We propose a distributed implementation of the Gaussian particle filter (GPF) for use in a wireless sensor network. Each sensor runs a local GPF that computes a global state esti...
Ondrej Hlinka, Ondrej Sluciak, Franz Hlawatsch, Pe...
IJCV
2010
131views more  IJCV 2010»
13 years 3 months ago
Using the Particle Filter Approach to Building Partial Correspondences Between Shapes
Abstract Constructing correspondencesbetween points characterizing one shape with those characterizing another is crucial to understanding what the two shapes have in common. These...
Rolf Lakämper, Marc Sobel