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Proceedings Paper

Data fusion system architecture for unattended ground sensors
Author(s): Junliang Zhang; Yuming Zhao
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Paper Abstract

In this paper, it develops an artificial intelligence method that uses object-oriented approach to construct the blackboard of data fusion for unattended ground sensors including geophone sensor, acoustic sensor, pressure sensor, infra-red sensor, magnetic sensor, image sensor etc.. It can perform detection, correlation, association and estimation to the sensors' output and obtain the exact recognition of targets, the number of target groups and the estimation for both the states of targets and the situation and threat. The whole blackboard is divided into three regions, including: single sensor fusion region, multisensor fusion region and threat estimation region. The three regions are expressed in classes. Knowledges of each domain in the three regions are also expressed by classes and encapsulated in class hierarchy structure. Thus the whole blackboard can be viewed as object forest, the distributed knowledge inference can be realized by object reference. Both statistics and hierarchy inference approaches are used in the blackboard structure so as to efficiently perform fusion and inference. Furthermore, the method is realized in C++ language and demonstrated by the simulation of sensor alarming datum under battlefield environment.

Paper Details

Date Published: 20 March 1998
PDF: 12 pages
Proc. SPIE 3376, Sensor Fusion: Architectures, Algorithms, and Applications II, (20 March 1998); doi: 10.1117/12.303688
Show Author Affiliations
Junliang Zhang, 54th Research Institute of Electronic Industry (China)
Yuming Zhao, 54th Research Institute of Electronic Industry (China)

Published in SPIE Proceedings Vol. 3376:
Sensor Fusion: Architectures, Algorithms, and Applications II
Belur V. Dasarathy, Editor(s)

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