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Author:
Nordberg, Klas (Linköping University, The Institute of Technology) (Linköping University, Department of Electrical Engineering, Computer Vision)
Doherty, Patrick (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Farnebäck, Gunnar (Linköping University, The Institute of Technology) (Linköping University, Department of Electrical Engineering, Computer Vision)
Forssén, Per-Erik (Linköping University, The Institute of Technology) (Linköping University, Department of Electrical Engineering, Computer Vision)
Granlund, Gösta (Linköping University, The Institute of Technology) (Linköping University, Department of Electrical Engineering, Computer Vision)
Moe, Anders (Linköping University, The Institute of Technology) (Linköping University, Department of Electrical Engineering, Computer Vision)
Wiklund, Johan (Linköping University, The Institute of Technology) (Linköping University, Department of Electrical Engineering, Computer Vision)
Title:
Vision for a UAV helicopter
Department:
Linköping University, Department of Electrical Engineering, Computer Vision
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Other academic)
Language:
English
In:
International Conference on Intelligent Robots and Systems (IROS), Workshop on Aerial Robotics: Lausanne, Switzerland
Year of publ.:
2002
URI:
urn:nbn:se:liu:diva-41607
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-41607
Local ID:
58233
Subject category:
Computer Science
SVEP category:
Computer science
Abstract(en) :

This paper presents and overview of the basic and applied research carried out by the Computer Vision Laboratory, Linköping University, in the WITAS UAV Project. This work includes customizing and redesigning vision methods to fit the particular needs and restrictions imposed by the UAV platform, e.g., for low-level vision, motion estimation, navigation, and tracking. It also includes a new learning structure for association of perception-action activations, and a runtime system for implementation and execution of vision algorithms. The paper contains also a brief introduction to the WITAS UAV Project.

Available from:
2009-10-10
Created:
2009-10-10
Last updated:
2009-11-27
Statistics:
92 hits
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