DocumentCode :
1918304
Title :
An introduction to multi-sensor data fusion
Author :
Llinas, James ; Hall, David L.
Author_Institution :
Center for Multisource Inf. Fusion, State Univ. of New York, Buffalo, NY, USA
Volume :
6
fYear :
1998
fDate :
31 May-3 Jun 1998
Firstpage :
537
Abstract :
Multi-sensor 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 multi-sensor 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
Keywords :
military systems; pattern recognition; sensor fusion; target tracking; weapons; DoD areas; artificial intelligence; automated target recognition; autonomous vehicles; battlefield surveillance; medical diagnosis; monitoring; multi-sensor data fusion; pattern recognition; process models; smart buildings; statistical estimation; Automatic control; Biomedical monitoring; Computerized monitoring; Condition monitoring; Intelligent vehicles; Mobile robots; Navigation; Remotely operated vehicles; Surveillance; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
Type :
conf
DOI :
10.1109/ISCAS.1998.705329
Filename :
705329
Link To Document :
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