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Passage Detection of a Train via a Reference Point

  • Lubos Rejfek,
  • Jan Pidanic,
  • Dominik Stursa,
  • Tan N. Nguyen,
  • Phuong T. Tran,
  • Zdenek Nemec,
  • Tomas Zalabsky

摘要

A reference point detection system for position validation of a mobile object was developed for verification of experiments. The detection is based on a classic image processing algorithm and a processing algorithm using neural networks. Both approaches are compared. High-precision concept of the system is based on a camera sensor and automatic processing of video frames for position evaluation. The designed system was tested on a real application proving correct operation.