传感器融合
战场
计算机科学
鉴定(生物学)
过程(计算)
人工智能
融合
国家(计算机科学)
数据挖掘
语言学
植物
生物
历史
操作系统
哲学
古代史
算法
作者
David L. Hall,James Llinas
出处
期刊:Proceedings of the IEEE
[Institute of Electrical and Electronics Engineers]
日期:1997-01-01
卷期号:85 (1): 6-23
被引量:2390
摘要
Multisensor data fusion is an emerging technology applied to Department of Defense (DoD) areas such as automated target recognition, battlefield surveillance, and guidance and control of autonomous vehicles, and to non-DoD applications such as monitoring of complex machinery, medical diagnosis, and smart buildings. Techniques for multisensor data fusion are drawn from a wide range of areas including artificial intelligence, pattern recognition, statistical estimation and other areas. This paper provides a tutorial on data fusion, introducing data fusion applications, process models, and identification of applicable techniques. Comments are made on the state-of-the-art in data fusion.
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