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Map based indoor robot navigation and localization using laser range finder

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

This paper presents a map based robot navigation and localization algorithm using laser range finder for indoor environments. A navigation path is given by the sequence of grids and global map information is represented by the list of vertexes. The grid based navigation facilities path planning as well as complements localization with priori information of the grid sequence. The pattern of vertexes is represented by distance, adjacency, and slant among them for the comparison between map information and range data. A mobile robot is globally localized by finding the matched pattern between the set of vertexes from the map and the set of vertexes from the range data. The proposed method is verified with actual range data from laser range finder.

Original languageEnglish
Title of host publication11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
PublisherIEEE Computer Society
Pages1559-1564
Number of pages6
ISBN (Print)9781424478132
DOIs
StatePublished - 2010

Publication series

Name11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Keywords

  • Indoor robot navigation
  • Laser range finder
  • Localization
  • Map representation

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