liu.seSearch for publications in DiVA
Change search
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
Two Imaging Systems for Positioning and Navigation
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering. Swedish Def Res Agcy FOI, Div C4ISR, Linkoping, Sweden.ORCID iD: 0000-0002-4434-8055
Swedish Def Res Agcy FOI, Div C4ISR, Linkoping, Sweden.
Swedish Def Res Agcy FOI, Div C4ISR, Linkoping, Sweden.
Saab Aeronaut, Linkoping, Sweden.
Show others and affiliations
2017 (English)In: 2017 WORKSHOP ON RESEARCH, EDUCATION AND DEVELOPMENT OF UNMANNED AERIAL SYSTEMS (RED-UAS), IEEE , 2017, p. 120-125Conference paper, Published paper (Refereed)
Abstract [en]

We present two approaches for using imaging sensors on-board small unmanned aerial systems (UAS) for positioning and navigation. Two types of sensors are used; laser scanners and a camera operating in the visual wavelengths. The laser scanners produce sparse 3D data that are registered to produce a local map. For the images from the video camera the optical flow and height estimates are fused and then matched with a geo-referenced aerial image. Both approaches include data from the inertial navigation system. The approaches can be used for accurate ego-positioning, and thus for navigation. The approaches are GPS independent and can work in GPS denied conditions, for example urban canyons, indoor environments, forest areas or while jammed. Applications are primarily within societal security and military defense.

Place, publisher, year, edition, pages
IEEE , 2017. p. 120-125
Keywords [en]
small UAV; laser scanner; video; simultaenous localization and mapping; registration; navigation; positioning
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-147203DOI: 10.1109/RED-UAS.2017.8101654ISI: 000427383700021ISBN: 978-1-5386-0939-2 (print)OAI: oai:DiVA.org:liu-147203DiVA, id: diva2:1197325
Conference
Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)
Note

Funding Agencies|Swedish Armed Forces RD program; Swedish Defence Material administration

Available from: 2018-04-12 Created: 2018-04-12 Last updated: 2018-04-12

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Grönwall, Christina
By organisation
Automatic ControlFaculty of Science & Engineering
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 124 hits
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