Method of Measuring Geometric Noise in a Matrix of Photoreceptors Using an Intelligent System of Detecting Obstacles in the Path of a Train

Method of Measuring Geometric Noise in a Matrix of Photoreceptors Using an Intelligent System of Detecting Obstacles in the Path of a Train

We present an empirical method of measuring geometric noise in matrix photoreceptors included in an intelligent system developed for detecting obstacles in the path of a train. A reference calibration field uses thermal images of crossties. Measurement of geometric noise sensitivity and dark current...

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Bibliographic Details
Published in:Measurement techniques Vol. 59; no. 12; pp. 1280 - 1285
Main Authors: Bekhtin, Yu. S., Zhelbakov, I. N., Ignatov, A. S., Krug, P. G., Lupachev, A. A.
Format: Journal Article
Language:English
Published: New York Springer US 01-03-2017
Springer
Springer Nature B.V
Subjects:
Analytical Chemistry
Barriers
Calibration
Characterization and Evaluation of Materials
Dark current
Intelligent systems
Measurement Science and Instrumentation
Noise
Noise measurement
Noise sensitivity
Obstacle avoidance
Optophysical Measurements
Photoreceptors
Physical Chemistry
Physics
Physics and Astronomy
Trains
safety of rail transport
geometric noise
calibration of matrix photoreceptors
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Description
Summary:We present an empirical method of measuring geometric noise in matrix photoreceptors included in an intelligent system developed for detecting obstacles in the path of a train. A reference calibration field uses thermal images of crossties. Measurement of geometric noise sensitivity and dark current is based on selected levels of homogeneity in the reference image. The experimental results demonstrated the advantage of the proposed method compared to a conventional two-point calibration.
ISSN:0543-1972
1573-8906
DOI:10.1007/s11018-017-1129-z