High level data fusion system for CanCoastWatch

被引：0

作者：

Li, Zhenhua ^{[1
]}

Leung, Henry ^{[1
]}

Valin, Pierre ^{[2
]}

Wehn, Hans ^{[2
]}

机构：

[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada

[2] DRDC Valcartier, Dec Support Syst Sect, Quebec City, PQ, Canada

来源：

2007 PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 | 2007年

关键词：

multiple sensors; track fusion; coast watch; situation assessment; expert system;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a goal-driven net-enabled distributed data fusion system is described for CanCoastWatch (CCR) 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.

引用

页码：1197 / +

页数：2

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