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

• 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
• ISSN: 0543-1972; 1573-8906
• DOI: 10.1007/s11018-017-1129-z

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.