PT Journal
AU Kyrylenko, Y
   Kutovoj, Y
   Kunchenko, T
   Nesterenko, O
TI Computer Vision Technologies in Controlling the Electric Drive of Railway Transport
SO Communications - Scientific Letters of the University of Zilina
PY 2025
BP C1
EP C13
VL 27
IS 1
DI 10.26552/com.C.2025.011
WP https://komunikacie.uniza.sk/artkey/csl-202501-0011.php
DE electric drive; railway transport; neural regulator; computer vision; image processing; optical flow
SN 13354205
AB Analysis of statistical data on accidents on railways shows that most often an accident occurs due to the influence of the human factor, obstacles on the track, curvature of the track, the phenomenon of skidding and slipping in dynamic modes. The novelty of the proposed work consists in development of a mathematical model and a study of the automatic speed control, depending on the curvature of the track or in the presence of obstacles, and track defects, as well as measuring the linear speed of the railway transport as one of the main elements of the slip protection system and the system for implementing the maximum traction force. The solution of these problems is possible with the help of a multipurpose sensor, which is a video camera, to form the feedback signals to the control system.
ER