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

Direct link
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.
LiTH-ISY-Ex, 2091
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-54362ISRN: n/aOAI: diva2:303033
Available from: 2010-03-10 Created: 2010-03-10 Last updated: 2010-03-30Bibliographically approved

Open Access in DiVA

fulltext(1409 kB)474 downloads
File information
File name FULLTEXT01.pdfFile size 1409 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Computer VisionThe Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 474 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 1195 hits
ReferencesLink to record
Permanent link

Direct link