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Vision-Based Multi-Robot Simultaneous Localization and Mapping

Published: 17 May 2004 Publication History

Abstract

In this paper we present a vision-based approachfor the multi-robot Simultaneous Localization andMapping (SLAM) problem. We study the case of ateam of robots equipped with a single camera andcollaborating in the same worksite. We propose tocalculate the location of the robots by using a collectionof sparse views of the planar surface on whichthese robots are moving. The camera motions are estimatedusing inter-image homographies computedfrom the matching of overhead transformed views.Results of map generated from the estimated robotlocations are presented.

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Cited By

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  • (2011)Designing the HRTeam frameworkProceedings of the 10th international conference on Advanced Agent Technology10.1007/978-3-642-27216-5_15(232-251)Online publication date: 2-May-2011
  • (2007)Detecting Loop Closure with Scene SequencesInternational Journal of Computer Vision10.1007/s11263-006-0020-174:3(261-286)Online publication date: 1-Sep-2007

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Published In

cover image Guide Proceedings
CRV '04: Proceedings of the 1st Canadian Conference on Computer and Robot Vision
May 2004
493 pages
ISBN:0769521274

Publisher

IEEE Computer Society

United States

Publication History

Published: 17 May 2004

Author Tags

  1. camera pose estimation
  2. homography
  3. robot localization
  4. sparse view matching

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View all
  • (2011)Designing the HRTeam frameworkProceedings of the 10th international conference on Advanced Agent Technology10.1007/978-3-642-27216-5_15(232-251)Online publication date: 2-May-2011
  • (2007)Detecting Loop Closure with Scene SequencesInternational Journal of Computer Vision10.1007/s11263-006-0020-174:3(261-286)Online publication date: 1-Sep-2007

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