T-SLAM: Registering topological and geometric maps for robot localization in large environments

F. Ferreira, I. Amorim, R. Rocha, J. Dias

Research output: Contribution to conferencePaperpeer-review

13 Scopus citations

Abstract

This article reports on a map building method that integrates topological and geometric maps created independently using multiple sensors. The procedure is termed T-SLAM to emphasize the integration of Topological and local Geometric maps that are created using a SLAM algorithm. The topological and metric representations are created independently, being local metric maps associated with topological places and registered at the topological level. The T-SLAM approach is mathematically formulated and applied to the localization problem within the Intelligent Robotic Porter System (IRPS) project, which is aimed at deploying mobile robots in large environments (e.g. airports). Some preliminary experimental results demonstrate the validity of the proposed method.

Original languageBritish English
Pages392-398
Number of pages7
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI - Seoul, Korea, Republic of
Duration: 20 Aug 200822 Aug 2008

Conference

Conference2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI
Country/TerritoryKorea, Republic of
CitySeoul
Period20/08/0822/08/08

Keywords

  • Robot localization
  • SLAM geometric maps
  • Topological maps
  • View-based localization

Fingerprint

Dive into the research topics of 'T-SLAM: Registering topological and geometric maps for robot localization in large environments'. Together they form a unique fingerprint.

Cite this