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Global localization of multirobot formations using ceiling vision SLAM strategy

  • Haoyao Chen*
  • , Dong Sun
  • , Jie Yang
  • *Corresponding author for this work

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

Abstract

In this paper we successfully extend the single robot ceiling vision SLAM to multirobot formations for addressing global localization problem. A public global map shared by every robot is built for positioning update. Two global localization strategies are proposed. The first strategy is to globally localize one robot only and then localize the others based on the relative poses amongst the robots. The second strategy is to globally localize all the robots simultaneously. The former requires less computational resource, and the later exhibits better localization performance. Simulation experiments are finally performed to demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationProceedings 14th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2007
Pages146-151
Number of pages6
DOIs
StatePublished - 2007
Externally publishedYes
Event14th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2007 - Xiamen, China
Duration: 3 Dec 20075 Dec 2007

Publication series

NameProceedings 14th International Conference on Mechatronics and Machine Vision in Practice, M2VIP2007

Conference

Conference14th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2007
Country/TerritoryChina
CityXiamen
Period3/12/075/12/07

Keywords

  • Ceiling vision SLAM
  • Global localization
  • Multirobot formation

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