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Ranking sensors using an adaptive fuzzy logic algorithm

delete2005-02-01
delete2
PRE
AI
G
G. Shayer
O
Ofir Cohen
E
Ephraim Korach
Y
Yael Edan
DOI：10.1109/JSEN.2004.839596delete
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Abstract

Abstract

En 中文
A procedure to rank sensors according to their noise rates was developed based on an adaptive fuzzy logic algorithm for sensor fusion. No a priori knowledge of the sensors performance is assumed. Simulation analysis indicated 83.33% successful ranking with noise rates up to 50%. In an indoor experiment with a mobile robot equipped with three logical sensors, 88% of the rankings were correct. The ranking procedure also indicates the ranking results success probability.
Keywords:
adaptive algorithm
fusion
logical sensors
performance measures
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Sensors Journal cover
IEEE Sensors Journal
IF:
4.5
Papers:
2.1W
Citations:
7.3W

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No organization information available