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Decentralized SLAM for Pedestrians without direct Communication
University of Freiburg.
University of Freiburg.
2007 (English)In: In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), IEEE conference proceedings, 2007, p. 1461-1466Conference paper, Published paper (Refereed)
Abstract [en]

We consider the problem of Decentralized Simultaneous Localization And Mapping (DSLAM) for pedestrians in the context of Urban Search And Rescue (USAR). In this context, DSLAM is a challenging task. First, data exchange fails due to cut off communication links. Second, loop-closure is cumbersome due to the fact that fireman will intentionally try to avoid performing loops, when facing the reality of emergency response, e.g. while they are searching for victims. In this paper, we introduce a solution to this problem based on the non-selfish sharing of information between pedestrians for loop-closure. We introduce a novel DSLAM method which is based on data exchange and association via RFID technology, not requiring any radio communication. The approach has been evaluated within both outdoor and semi-indoor environments. The presented results show that sharing information between single pedestrians allows to optimize globally their individual paths, even if they are not able to communicate directly.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2007. p. 1461-1466
National Category
Robotics
Identifiers
URN: urn:nbn:se:liu:diva-72565DOI: 10.1109/IROS.2007.4399013ISBN: 978-1-4244-0912-9 (print)OAI: oai:DiVA.org:liu-72565DiVA, id: diva2:459920
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Artificial Intelligence & Integrated Computer SystemsAvailable from: 2011-11-29 Created: 2011-11-28 Last updated: 2011-12-02Bibliographically approved

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Kleiner, Alexander

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf