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...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Christoph Wiesmeyr, Martin Litzenberger, Markus Waser, Adam Papp, Heinrich Garn, Günther Neunteufel, Herbert Döller
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2020-01-01
Serie:Applied Sciences
Ämnen:
das
fiber optic sensing
train tracking
pattern recognition
Länkar:https://www.mdpi.com/2076-3417/10/2/448
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk