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IJRR
2006
88views more  IJRR 2006»
13 years 5 months ago
Multi-robot Simultaneous Localization and Mapping using Particle Filters
Abstract-- This paper describes an on-line algorithm for multirobot simultaneous localization and mapping (SLAM). We take as our starting point the single-robot Rao-Blackwellized p...
Andrew Howard
JIRS
2006
128views more  JIRS 2006»
13 years 5 months ago
A Modified Particle Filter for Simultaneous Localization and Mapping
The implementation of a particle filter (PF) for vision-based bearing-only simultaneous localization and mapping (SLAM) of a mobile robot in an unstructured indoor environment is p...
N. M. Kwok, A. B. Rad
ICRA
2003
IEEE
103views Robotics» more  ICRA 2003»
13 years 10 months ago
Simultaneous localization and mapping with unknown data association using fastSLAM
— The Extended Kalman Filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for nearly fifteen years. However, the EKF has two ...
Michael Montemerlo, Sebastian Thrun
RAS
2007
102views more  RAS 2007»
13 years 4 months ago
Fast and accurate SLAM with Rao-Blackwellized particle filters
Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous localization and mapping problem. This technique applies a particle filter in which each ...
Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stach...
ICRA
2005
IEEE
115views Robotics» more  ICRA 2005»
13 years 10 months ago
Multi-Robot Localization Using Relative Observations
Abstract— In this paper we consider the problem of simultaneously localizing all members of a team of robots. Each robot is equipped with proprioceptive sensors and exteroceptive...
Agostino Martinelli, Frederic Pont, Roland Siegwar...