An introduction to multisensor data fusion

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...

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Bibliographic Details
Published in:Proceedings of the IEEE 1997-01, Vol.85 (1), p.6-23
Main Authors: Hall, D.L., Llinas, J.
Format: Article
Language:English
Subjects:
Automatic control
Biomedical monitoring
Computerized monitoring
Computers in experimental physics
Condition monitoring
Data analysis: algorithms and implementation
data management
Exact sciences and technology
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Intelligent vehicles
Mobile robots
Navigation
Physics
Remotely operated vehicles
Surveillance
Target recognition
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Summary: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.
ISSN:0018-9219
1558-2256
DOI:10.1109/5.554205