DocumentCode :
277969
Title :
A methodology for distributed AI and its applicability for data fusion applications
Author :
Martin, Sean C. ; Slade, Andrew J.
Author_Institution :
Cambridge Consultants Ltd., UK
fYear :
1991
fDate :
33273
Firstpage :
42614
Lastpage :
42618
Abstract :
As a greater variety and combination of sensors are used, there is an increasing need for intelligent data fusion supported by concurrent processing. As yet, there is little relevant design experience with this technology. However, the Consensus project is producing a methodology that is directly relevant for such applications. The paper considers the nature of data fusion, describes the scope of the Consensus project and presents an overview of the initial version of the methodology
Keywords :
artificial intelligence; data handling; detectors; distributed processing; multiprocessing programs; Consensus; artificial intelligence; concurrent processing; data fusion; distributed AI; sensors;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Principles and Applications of Data Fusion, IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
180997
Link To Document :
بازگشت