Algorithm of Signal Recognition for Railway Embedded Control Devices
2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2018): Proceedings
2018
Anna Beinaroviča,
Mihails Gorobecs,
Ivars Alps,
Anatolijs Ļevčenkovs
In this paper proposed algorithm solves the problem of the trains passing through the red light and thus decrease the dangerous level of railway transportation process. System structure, based on the embedded electronic device with artificial intelligence, is proposed and described in the paper. To gain the better results, the research was divided in four tasks: railway traffic light recognition, railway traffic light red signal recognition, decision making to start braking and finally generate appropriate signal to locomotive’s transmission and braking control system.
Keywords
Rail transportation, Microcontrollers, Convolutional neural networks, Safety, Object recognition
DOI
10.1109/RTUCON.2018.8659818
Hyperlink
https://ieeexplore.ieee.org/document/8659818
Beinaroviča, A., Gorobecs, M., Alps, I., Ļevčenkovs, A. Algorithm of Signal Recognition for Railway Embedded Control Devices. In: 2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2018): Proceedings, Latvia, Riga, 12-14 November, 2018. Piscataway: IEEE, 2018, pp.498-502. ISBN 978-1-5386-6904-4. e-ISBN 978-1-5386-6903-7. Available from: doi:10.1109/RTUCON.2018.8659818
Publication language
English (en)