1. Proceedings
  2. I3M
  3. 2022
  4. EMSS
  5. 10.46354/i3m.2022.emss.030

Algorithm for computer vision based indoor positioning system for autonomous railway safety system simulation

  • a Jurijs Timofejevs ,
  • b Mikhail Gorobetz ,
  • c Andrejs Potapovs 
  • a,b,c  Riga Technical University, Azenes street 12, Riga, LV-1048, Latvia
Cite as
Timofejevs J., Gorobets M., and Potapovs A. (2022).,Algorithm for computer vision based indoor positioning system for autonomous railway safety system simulation. Proceedings of the 34th European Modeling & Simulation Symposium (EMSS 2022). , 030 . DOI: https://doi.org/10.46354/i3m.2022.emss.030

Abstract

In this paper, an algorithm for detecting position for model trains is presented. It uses a single affordable video camera, a software which utilizes computer vision algorithms to track objects and a simple server to share that data with model embedded devices. This approach has proven that it provides accurate enough (several centimeter precision) positional data to control the models during testing. The system is easy to setup and allows to migrate the software code to use GPS without significant changes.

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