Abstract
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
- aerospace
- artificial
- automated
- autonomous
- based
- battlefield
- buildings,
- complex
- computerised
- computing,
- control,
- data
- defense,
- department
- diagnosis,
- dod,
- emerging
- estimation
- fusion,
- guidance,
- identification,
- instrumentation,
- intelligence,
- knowledge
- machinery,
- medical
- methods,
- military
- models,
- multisensor
- nonlinearities,
- of
- pattern
- process
- recognition,
- sensor
- smart
- statistical
- surveillance,
- systems,
- target
- technology,
- vehicles,
Users
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