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Proceedings Paper

Intelligent sensor integrated system
Author(s): Nikunja K. Swain; James A. Anderson; A. M. Hasanul-Basher
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Paper Abstract

In multiple-sensor fusion several sensors acquire the same information, and thereby increase the reliability and accuracy of the information through a systematic process of combination of the sensory data obtained from different sources. The accuracy of the sensory data depends upon the precision of sensor and the environmental states in which the sensor operates. Most of the existing sensor integration systems (SIS) use some form of statistical techniques and hence lack the flexibility to change or replace inaccurate sensor(s). This paper presents an Intelligent Sensor Integrated System (ISIS) approach that uses the knowledge database of the sensors and allows for the changing or replacing of sensor(s). This proposed system uses fuzzy logic to achieve this objective.

Paper Details

Date Published: 17 July 1998
PDF: 5 pages
Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); doi: 10.1117/12.327113
Show Author Affiliations
Nikunja K. Swain, South Carolina State Univ. (United States)
James A. Anderson, South Carolina State Univ. (United States)
A. M. Hasanul-Basher, South Carolina State Univ. (United States)

Published in SPIE Proceedings Vol. 3374:
Signal Processing, Sensor Fusion, and Target Recognition VII
Ivan Kadar, Editor(s)

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