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ICRA
2000
IEEE
103views Robotics» more  ICRA 2000»
13 years 9 months ago
Invariant Filtering for Simultaneous Localization and Mapping
This paper presents an algorithm for simultaneous localization and map building for a mobile robot moving in an unknown environment. The robot can measure only the bearings to ide...
Matthew Deans, Martial Hebert
IJRR
2002
218views more  IJRR 2002»
13 years 4 months ago
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks
A key component of a mobile robot system is the ability to localize itself accurately and, simultaneously, to build a map of the environment. Most of the existing algorithms are b...
Stephen Se, David G. Lowe, James J. Little
ICRA
2005
IEEE
132views Robotics» more  ICRA 2005»
13 years 10 months ago
Handling the Inconsistency of Relative Map Filter
— In [5], a version of Relative Map Filter (RMF) is proposed to solve the simultaneous localization and map building (SLAM) problem. In the RMF, the map states contain only quant...
Viet Nguyen, Agostino Martinelli, Roland Siegwart
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