Paper
17 July 1998 Intelligent sensor integrated system
Nikunja K. Swain, James A. Anderson, A. M. Hasanul-Basher
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nikunja K. Swain, James A. Anderson, and A. M. Hasanul-Basher "Intelligent sensor integrated system", Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); https://doi.org/10.1117/12.327113
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Humidity

Fuzzy logic

System integration

Intelligent sensor systems

Intelligent sensors

Databases

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