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Colour Vision and Hue for Autonomous Vehicle Guidance
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1999 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

We explore the use of colour for interpretation of unstructured off-road scenes. The aim is to extract driveable areas for use in an autonomous off-road vehicle in real-time. The terrain is an unstructured tropical jungle area with vegetation, water and red mud roads.

We show that hue is both robust to changing lighting conditions and an important feature for correctly interpreting this type of scene. We believe that our method also can be deployed in other types of terrain, with minor changes, as long as the terrain is coloured and well saturated.

Only 2D information is processed at the moment, but we aim at extending the method to also treat 3D information, by the use of stereo vision or motion.

Place, publisher, year, edition, pages
1999. , 72 p.
Series
LiTH-ISY-Ex, 2091
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-54362ISRN: n/aOAI: oai:DiVA.org:liu-54362DiVA: diva2:303033
Presentation
(English)
Uppsok
Technology
Available from: 2010-03-10 Created: 2010-03-10 Last updated: 2010-03-30Bibliographically approved

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CiteExportLink to record
Permanent link

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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