LiU Electronic Press
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Author:
Heintz, Fredrik (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Rudol, Piotr (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Doherty, Patrick (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Title:
Bridging the Sense-Reasoning Gap Using DyKnow: A Knowledge Processing Middleware Framework
Department:
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:
Proceedings of the 30th Annual German Conference on Artificial Intelligence (KI)
Editor:
Joachim Hertzberg, Michael Beetz and Roman Englert
Place of publ.: Berlin, Heidelberg Publisher: Springer
Series:
Lecture Notes in Computer Science, ISSN 0302-9743; 4667
Pages:
460-463
Year of publ.:
2007
URI:
urn:nbn:se:liu:diva-40832
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-40832
ISBN:
978-3-540-74564-8
Local ID:
54282
Subject category:
Computer Science
SVEP category:
Computer science
Keywords(en) :
knowledge representation, ai
Abstract(en) :

To achieve complex missions an autonomous unmanned aerial vehicle (UAV) operating in dynamic environments must have and maintain situational awareness. This can be achieved by continually gathering information from many sources, selecting the relevant information for current tasks, and deriving models about the environment and the UAV itself. It is often the case models suitable for traditional control, are not sufficient for deliberation. The need for more abstract models creates a sense-reasoning gap. This paper presents DyKnow, a knowledge processing middleware framework, and shows how it supports bridging the gap in a concrete UAV traffic monitoring application. In the example, sequences of color and thermal images are used to construct and maintain qualitative object structures. They model the parts of the environment necessary to recognize traffic behavior of tracked vehicles in real-time. The system has been implemented and tested in simulation and on data collected during flight tests.

Available from:
2009-10-10
Created:
2009-10-10
Last updated:
2011-04-15
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