DocumentCode :
476941
Title :
Application of search theory for large volume surveillance planning
Author :
Guitouni, A. ; Jabeur, K. ; Allouche, M. ; Wehn, H. ; Happe, J.
Author_Institution :
Defence R&D Canada Valcartier, Val-Belair, QC
fYear :
2008
fDate :
June 30 2008-July 3 2008
Firstpage :
1
Lastpage :
8
Abstract :
DRDC Valcartier has initiated, through a PRECARN partnership project, the development of an advanced simulation test bed called CanCoastWatch. The main focus of this test bed is to study net-enabled concepts such as distributed information fusion algorithms and architectures, dynamic resources and networks configuration management, and self-synchronising units and agents. The test bed allows the evaluation of a range of control strategies from independent platform search, through various levels of platform collaboration, up to a centralized control of search platforms. In this paper, we present the integration of a planning tool based on search theory concept: SARPlan. In particular, we discuss the original idea of combining fusion results to build a containment probability distribution according to the search theory approach. This paper presents the results and discusses future development.
Keywords :
centralised control; configuration management; control engineering computing; marine systems; planning; sensor fusion; surveillance; CanCoastWatch; DRDC Valcartier; PRECARN partnership project; containment probability distribution; distributed information fusion; dynamic resources; large volume surveillance planning; networks configuration management; platform collaboration; search theory; self-synchronising units; Large volume surveillance; planning; search theory; system architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2008 11th International Conference on
Conference_Location :
Cologne
Print_ISBN :
978-3-8007-3092-6
Electronic_ISBN :
978-3-00-024883-2
Type :
conf
Filename :
4632311
Link To Document :
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