LiU Electronic Press
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Author:
Heintz, Fredrik (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (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:
Federated DyKnow, a Distributed Information Fusion System for Collaborative UAVs
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 11th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Conference:
11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010) Singapore, SINGAPORE, 7-10 Dec. 2010
Publisher: IEEE conference proceedings
Pages:
1063-1069
Year of publ.:
2010
URI:
urn:nbn:se:liu:diva-59943
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-59943
ISBN:
978-1-4244-7814-9
ISI:
000291559800184
Subject category:
Engineering and Technology
SVEP category:
TECHNOLOGY
Abstract(en) :

As unmanned aerial vehicle (UAV) applications are becoming more complex and covering larger physical areas there is an increasing need for multiple UAVs to cooperatively solve problems. To produce more complete and accurate information about the environment we present the DyKnow Federation framework for distributed fusion among collaborative UAVs. A federation is created and maintained using a multi-agent delegation framework which allows high-level specification and reasoning about resource bounded cooperative problem solving. When the federation is set up, local information is transparently shared between the agents according to specification. The work is presented in the context of a multi-UAV traffic monitoring scenario.

Available from:
2010-09-30
Created:
2010-09-30
Last updated:
2012-09-12
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