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A solution to the simultaneous localization and map building (SLAM) problem

by M. W. M. Gamini Dissanayake, Paul Newman, Steven Clark, Hugh F. Durrant-whyte, M. Csorba - IEEE Transactions on Robotics and Automation , 2001
"... Abstract—The simultaneous localization and map building (SLAM) problem asks if it is possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute absolute vehicle ..."
Abstract - Cited by 505 (30 self) - Add to MetaCart
Abstract—The simultaneous localization and map building (SLAM) problem asks if it is possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute absolute vehicle

Dynamic map building for an autonomous mobile robot

by John J. Leonard, Hugh F. Durrant-whyte, Ingemar J. Cox - Int. J. Robotics Research , 1992
"... This article presents an algorithm for autonomous map building and maintenance for a mobile robot. We believe that mobile robot navigation can be treated as a problem of tracking ge-ometric features that occur naturally in the environment. We represent each feature in the map by a location estimate ..."
Abstract - Cited by 200 (5 self) - Add to MetaCart
This article presents an algorithm for autonomous map building and maintenance for a mobile robot. We believe that mobile robot navigation can be treated as a problem of tracking ge-ometric features that occur naturally in the environment. We represent each feature in the map by a location estimate

A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

by Sebastian Thrun, Wolfram Burgard, Dieter Fox, Henry Hexmoor, Maja Mataric - Machine Learning , 1998
"... . This paper addresses the problem of building large-scale geometric maps of indoor environments with mobile robots. It poses the map building problem as a constrained, probabilistic maximum-likelihood estimation problem. It then devises a practical algorithm for generating the most likely map from ..."
Abstract - Cited by 483 (43 self) - Add to MetaCart
. This paper addresses the problem of building large-scale geometric maps of indoor environments with mobile robots. It poses the map building problem as a constrained, probabilistic maximum-likelihood estimation problem. It then devises a practical algorithm for generating the most likely map from

Improved methods for building protein models in electron density maps and the location of errors in these models. Acta Crystallogr. sect

by T. A. Jones, J. -y. Zou, S. W. Cowan, M. Kjeldgaard - A , 1991
"... Map interpretation remains a critical step in solving the structure of a macromolecule. Errors introduced at this early stage may persist throughout crystallo-graphic refinement and result in an incorrect struc-ture. The normally quoted crystallographic residual is often a poor description for the q ..."
Abstract - Cited by 1051 (9 self) - Add to MetaCart
Map interpretation remains a critical step in solving the structure of a macromolecule. Errors introduced at this early stage may persist throughout crystallo-graphic refinement and result in an incorrect struc-ture. The normally quoted crystallographic residual is often a poor description

Simultaneous Localisation and Map Building

by Michael Csorba , 1997
"... This thesis examines the problem of localising an Autonomous Guided Vehicle (AGV) travelling in an unknown environment. In this problem, the AGV faces the dual task of modeling the environment and simultaneously localising its position within it. The Simultaneous Localisation and Map Building (SLAM) ..."
Abstract - Cited by 28 (0 self) - Add to MetaCart
This thesis examines the problem of localising an Autonomous Guided Vehicle (AGV) travelling in an unknown environment. In this problem, the AGV faces the dual task of modeling the environment and simultaneously localising its position within it. The Simultaneous Localisation and Map Building (SLAM

Globally Consistent Range Scan Alignment for Environment Mapping

by F. Lu, E. Milios - AUTONOMOUS ROBOTS , 1997
"... A robot exploring an unknown environmentmay need to build a world model from sensor measurements. In order to integrate all the frames of sensor data, it is essential to align the data properly. An incremental approach has been typically used in the past, in which each local frame of data is alig ..."
Abstract - Cited by 531 (8 self) - Add to MetaCart
A robot exploring an unknown environmentmay need to build a world model from sensor measurements. In order to integrate all the frames of sensor data, it is essential to align the data properly. An incremental approach has been typically used in the past, in which each local frame of data

Optimization of the Simultaneous Localization and Map Building Algorithm for Real Time Implementation

by Jose Guivant, Eduardo Nebot - IEEE Transactions on Robotics and Automation , 2001
"... ..."
Abstract - Cited by 245 (14 self) - Add to MetaCart
Abstract not found

Probabilistic map building for aircrafttracking radars,” tech

by Joao P. Hespanha, Yusuf Ateskan, See Profile , 2000
"... Probabilistic map building for aircraft-tracking radars ..."
Abstract - Cited by 12 (1 self) - Add to MetaCart
Probabilistic map building for aircraft-tracking radars

Simultaneous localization and map-building using active vision

by Andrew J. Davison, David W. Murray - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2002
"... AbstractÐAn active approach to sensing can provide the focused measurement capability over a wide field of view which allows correctly formulated Simultaneous Localization and Map-Building (SLAM) to be implemented with vision, permitting repeatable longterm localization using only naturally occurrin ..."
Abstract - Cited by 102 (6 self) - Add to MetaCart
AbstractÐAn active approach to sensing can provide the focused measurement capability over a wide field of view which allows correctly formulated Simultaneous Localization and Map-Building (SLAM) to be implemented with vision, permitting repeatable longterm localization using only naturally

The SPmap: A Probabilistic Framework for Simultaneous Localization and Map Building

by Jose A. Castellanos, J. M. M. Montiel, J. Neira, J. D. Tardos - IEEE Transactions on Robotics and Automation , 1999
"... This article describes a rigorous and complete framework for the simultaneous localization and map building problem for mobile robots: the symmetries and perturbations map (SPmap), which is based on a general probabilistic representation of uncertain geometric information. We present a complete expe ..."
Abstract - Cited by 154 (15 self) - Add to MetaCart
This article describes a rigorous and complete framework for the simultaneous localization and map building problem for mobile robots: the symmetries and perturbations map (SPmap), which is based on a general probabilistic representation of uncertain geometric information. We present a complete
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