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A mobile robot self-localization approach based on unidirectional vision

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

Abstract

This paper presents a self-localization system for mobile robot in large-scale indoor environments. For a structured corridor environment, the vision information is adopted to track the robot pose with a predefined hybrid metric-topological map. A nonlinear unidirectional camera model is developed to project the probabilistic map elements with uncertainty manipulation. Extended Information filters are deployed to estimate the robot pose. The proposed system can perform localization tasks on-the-fly, with the features of efficient map modeling and computational simplicity. Experimental results are provided to demonstrate the performance and effectiveness of the proposed techniques.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
Pages1966-1971
Number of pages6
DOIs
StatePublished - 2012
Event2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012 - Chengdu, China
Duration: 5 Aug 20128 Aug 2012

Publication series

Name2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012

Conference

Conference2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012
Country/TerritoryChina
CityChengdu
Period5/08/128/08/12

Keywords

  • Hybrid metric-topological map
  • Large-scale indoor environment
  • Localization
  • unidirectional vision

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