Low-Cost Autonomous Trains and Safety Systems Implementation, using Computer Vision

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The need of modern transport solutions is a tendency that has been developed also
in the railway transport. This study provides a possible implementation of a fully autonomous
train system with low impact on the railway infrastructure, using computer vision and
machine learning concepts. It could be implemented on various existing safety and
infrastructure systems. The system has been tested on a H0 scale modified model train and a
Raspberry Pi with a Pi Camera as processing unit. The proposed system combines several
software and hardware technologies into a single embedded system that provide the required
safety on railways and can set the trend for real trains. Furthermore, the main motivation of
the concept is that the railway transport automation represents an essential step in
transforming this domain into one as flexible as road transport. In this regard, over the years,
a multitude of control and safety assurance systems, based on various technologies have been
developed to lead to the most optimal outcome. The primary innovation of the study resides
in the application of neural network quantization to enhance temporal efficiency, alongside
the advancement of a comprehensive autonomous railway transportation system.
- Cím és alcím
- Low-Cost Autonomous Trains and Safety Systems Implementation, using Computer Vision
- Szerző
- Suciu, Dan Andrei
- Dulf, Eva-H.
- Kovács, Levente
- Megjelenés ideje
- 2024
- Hozzáférés szintje
- Open access
- ISSN, e-ISSN
- 1785-8860
- Nyelv
- en
- Terjedelem
- 15 p.
- Tárgyszó
- automation, computer vision, European Rail Traffic Management System, machine learning, railway, quantization, safety
- Változat
- Kiadói változat
- Egyéb azonosítók
- DOI: 10.12700/APH.21.9.2024.9.3
- A cikket/könyvrészletet tartalmazó dokumentum címe
- Acta Polytechnica Hungarica
- A forrás folyóirat éve
- 2024
- A forrás folyóirat évfolyama
- 21. évf.
- A forrás folyóirat száma
- 9. sz.
- Műfaj
- Tudományos cikk
- Tudományterület
- Műszaki tudományok - közlekedés- és járműtudományok
- Egyetem
- Óbudai Egyetem