liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Geo-Referencing for UAV Navigation using Environmental Classification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Show others and affiliations
2010 (English)In: Proceedings of the 2010 IEEE International Conference on Robotics and Automation, 2010, 1420-1425 p.Conference paper, Published paper (Refereed)
Abstract [en]

A UAV navigation system relying on GPS is vulnerable to signal failure, making a drift free backup system necessary. We introduce a vision based geo-referencing system that uses pre-existing maps to reduce the long term drift. The system classifies an image according to its environmental content and thereafter matches it to an environmentally classified map over the operational area. This map matching provides a measurement of the absolute location of the UAV, that can easily be incorporated into a sensor fusion framework. Experiments show that the geo-referencing system reduces the long term drift in UAV navigation, enhancing the ability of the UAV to navigate accurately over large areas without the use of GPS.

Place, publisher, year, edition, pages
2010. 1420-1425 p.
Keyword [en]
Global positioning system, Image classification, Robot vision, Sensor fusion
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-63589DOI: 10.1109/ROBOT.2010.5509424ISBN: 978-1-4244-5040-4 (print)ISBN: 978-1-4244-5038-1 (print)OAI: oai:DiVA.org:liu-63589DiVA: diva2:380787
Conference
2010 IEEE International Conference on Robotics and Automation, Anchorage, AK, USA, 3-7 May, 2010
Funder
Swedish Research Council
Available from: 2010-12-22 Created: 2010-12-22 Last updated: 2013-09-17Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textRelated report

Authority records BETA

Lindsten, FredrikCallmer, JonasOhlsson, HenrikTörnqvist, DavidSchön, ThomasGustafsson, Fredrik

Search in DiVA

By author/editor
Lindsten, FredrikCallmer, JonasOhlsson, HenrikTörnqvist, DavidSchön, ThomasGustafsson, Fredrik
By organisation
Automatic ControlThe Institute of Technology
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 198 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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