DocumentCode :
2451122
Title :
High Level data fusion system for CanCoastWatch
Author :
Li, Zhenhua ; Valin, Pierre ; Leung, Henry ; Wehn, Hans
Author_Institution :
Calgary Univ., Calgary
fYear :
2007
fDate :
9-12 July 2007
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a goal-driven net-enabled distributed data fusion system is described for CanCoastWatch (CCW) project. Multiple sensors are deployed and managed to achieve the goals of situation assessment using a net-enabled architecture. The local tracks reported by multiple sensors are first integrated into global tracks. Decision making is then performed on basic sub-goals that can be directly derived from the fused global tracks. Finally, a goal-driven rule-based expert system uses the basic sub-goal decisions for goal reasoning.
Keywords :
expert systems; military computing; national security; sensor fusion; CanCoastWatch; data fusion system; expert system; multiple sensors; situation assessment; track fusion; Expert systems; Head; Image sensors; Infrared image sensors; Marine vehicles; Radar imaging; Radar tracking; Sensor fusion; Sensor systems; Shape; coast watch; expert system; multiple sensors; situation assessment; track fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
Type :
conf
DOI :
10.1109/ICIF.2007.4408126
Filename :
4408126
Link To Document :
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