Real-Time Train Tracking from Distributed Acoustic Sensing Data

In the context of railway safety, it is crucial to know the positions of all trains moving along the infrastructure. In this contribution, we present an algorithm that extracts the positions of moving trains for a given point in time from Distributed Acoustic Sensing (DAS) signals. These signals are...

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Detaylı Bibliyografya
Asıl Yazarlar: Christoph Wiesmeyr, Martin Litzenberger, Markus Waser, Adam Papp, Heinrich Garn, Günther Neunteufel, Herbert Döller
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2020-01-01
Seri Bilgileri:Applied Sciences
Konular:
das
fiber optic sensing
train tracking
pattern recognition
Online Erişim:https://www.mdpi.com/2076-3417/10/2/448
Etiketler: Etiketle
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