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JIRS
2006
128views more  JIRS 2006»
13 years 4 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
IJRR
2006
88views more  IJRR 2006»
13 years 4 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
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...
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...
ICRA
2003
IEEE
103views Robotics» more  ICRA 2003»
13 years 9 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