Railway Intrusion Risk Quantification with Track Semantic Segmentation and Spatiotemporal Features

Foreign object intrusion in railway perimeter areas poses significant risks to train operation safety. To address the limitation of current visual detection technologies that overly focus on target identification while lacking quantitative risk assessment, this paper proposes a railway intrusion ris...

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Hlavní autoři:	Shanping Ning, Feng Ding, Bangbang Chen, Yuanfang Huang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-08-01
Edice:	Sensors
Témata:	foreign object intrusion risk quantification assessment semantic segmentation spatiotemporal feature fusion lightweight network graded early warning
On-line přístup:	https://www.mdpi.com/1424-8220/25/17/5266
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