A Review of Intrusion Detection for Railway Perimeter Using Deep Learning-Based Methods

Efficiently detecting intrusions on a railway perimeter is crucial for ensuring the safety of railway transportation. With the development of computer vision, researchers have been actively exploring methods for detecting foreign object intrusion via image recognition technology. This article review...

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Detalles Bibliográficos

Principais autores:	Jin Wang, Hongyang Zhai, Yang Yang, Niuqi Xu, Hao Li, Di Fu
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	Railway semantic segmentation object detection foreign object intrusion railway safety
Acceso en liña:	https://ieeexplore.ieee.org/document/10777007/
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