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Indoor localization and navigation independent of sensor based technologies
Department of Infrastructure Engineering, University of Melbourne.
Department of Infrastructure Engineering, University of Melbourne.
Department of Infrastructure Engineering, University of Melbourne.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-5629-0981
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2017 (English)Report (Other academic)
Abstract [en]

In this short article we present concepts of indoor localization and navigation that are independent of sensors embedded in the environment, and thus, standing against the tide of technology-based indoor localization. The motivation for doing so is clear: We seek solutions that are independent of particular environments, and thus globally applicable.

Place, publisher, year, edition, pages
New York, NY, 2017. , 8 p.
Series
SIGSPATIAL Special, 9(1)
Keyword [en]
spatial knowledge, user interaction data sharing, vision
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-137773DOI: 10.1145/3124104.3124109OAI: oai:DiVA.org:umu-137773DiVA: diva2:1127560
Available from: 2017-07-17 Created: 2017-07-17 Last updated: 2017-07-17

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Publisher's full texthttp://dl.acm.org/citation.cfm?doid=3124104.3124109

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Richter, Kai-Florian
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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