MULTIPLE SENSORS, VOTING METHODS AND TARGET VALUE ANALYSIS
Date
1998-02-01
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Abstract
Voting techniques for high level sensor/data fusion are explored here, with
examples from character recognition and target value analysis. High degrees
of reliability can be achieved, and the method can be applied to various kinds
of data. The only requirement is that a ranking of the targets be extracted
from the sensors.
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Computer Science