Author:
Heintz, Fredrik (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:
DyKnow Federations: Distributing and Merging Information Among 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)
In:
Proceedings of the 11th International Conference on Information Fusion (FUSION)
Publisher:
IEEE conference proceedings
URI:
urn:nbn:se:liu:diva-44577
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-44577
Abstract(en)
:
As unmanned aerial vehicle (UAV) applications become more complex and versatile there is an increasing need to allow multiple UAVs to cooperate to solve problems which are beyond the capability of each individual UAV. To provide more complete and accurate information about the environment we present a DyKnow federation framework for information integration in multi-node networks of UAVs. A federation is created and maintained using a multiagent delegation framework and allows UAVs to share local information as well as process information from other UAVs as if it were local using the DyKnow knowledge processing middleware framework. The work is presented in the context of a multi UAV traffic monitoring scenario.
Available from:
2009-10-10
Statistics:
7 hits