Detail publikace

Classification of railway level crossing barrier and light signalling system using YOLOv3

SIKORA, P. KIAC, M. DUTTA, M.

Originální název

Classification of railway level crossing barrier and light signalling system using YOLOv3

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Nowadays, the world is experiencing an increasing boom in deep learning. This is more and more used in many areas such as medicine, robotics, industry, security systems, etc. This article deals with the detection and classification of railway barriers at level crossings, railway warnings, and light signaling systems. The evaluation system uses cameras, which are suitably positioned to capture the entire scene at a given railway level crossing. The detection itself is done using image processing techniques and deep neural networks. The proposed system uses the GPU acceleration to achieve real-time capability.

Klíčová slova

object detection; railway level crossing barrier; train; traffic light; yolo

Autoři

SIKORA, P.; KIAC, M.; DUTTA, M.

Vydáno

11. 8. 2020

Nakladatel

IEEE

Místo

Milan, Italy

ISBN

978-1-7281-6376-5

Kniha

Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)

Strany od

528

Strany do

532

Strany počet

5

URL

https://ieeexplore.ieee.org/document/9163535

BibTex

@inproceedings{BUT164732,
  author="Pavel {Sikora} and Martin {Kiac} and Malay Kishore {Dutta}",
  title="Classification of railway level crossing barrier and light signalling system using YOLOv3",
  booktitle="Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)",
  year="2020",
  pages="528--532",
  publisher="IEEE",
  address="Milan, Italy",
  doi="10.1109/TSP49548.2020.9163535",
  isbn="978-1-7281-6376-5",
  url="https://ieeexplore.ieee.org/document/9163535"
}