Real-Time Train Tracking from Distributed Acoustic Sensing Data

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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Bibliographic Details
Main Authors: Christoph Wiesmeyr, Martin Litzenberger, Markus Waser, Adam Papp, Heinrich Garn, Günther Neunteufel, Herbert Döller
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
das
fiber optic sensing
train tracking
pattern recognition
Online Access:https://www.mdpi.com/2076-3417/10/2/448

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