LiU Electronic Press
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Author:
Andersson, Per (n/a)
Kuchcinski, Krzysztof (n/a)
Nordberg, Klas (Linköping University, Department of Electrical Engineering, Computer Vision) (Linköping University, The Institute of Technology)
Doherty, Patrick (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Title:
Integrating a computational model and a run time system for image processing on a UAV
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 (Refereed)
Language:
English
In:
Euromicro Symposium on Digital System Design (DSD)
Pages:
102-109
Year of publ.:
2002
URI:
urn:nbn:se:liu:diva-21676
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-21676
Subject category:
Engineering and Technology
SVEP category:
TECHNOLOGY
Abstract(en) :

Recently substantial research has been devoted to Unmanned Aerial Vehicles (UAVs). One of a UAV's most demanding subsystem is vision. The vision subsystem must dynamically combine different algorithms as the UAVs goal and surrounding change. To fully utilize the available hardware, a run time system must be able to vary the quality and the size of regions the algorithms are applied to, as the number of image processing tasks changes. To allow this the run time system and the underlying computational model must be integrated. In this paper we present a computational model suitable for integration with a run time system. The computational model is called Image Processing Data Flow Graph (IP-DFG). IP-DFG has been developed for modeling of complex image processing algorithms. IP-DFG is based on data flow graphs, but has been extended with hierarchy and new rules for token consumption, which makes the computational model more flexible and more suitable for human interaction. In this paper we also show that IP-DFGs are suitable for modelling expressions, including data dependent decisions and iterations, which are common in complex image processing algorithms.

Available from:
2009-10-08
Created:
2009-10-05
Last updated:
2010-01-21
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