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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...

詳細記述

保存先:
書誌詳細
主要な著者: Christoph Wiesmeyr, Martin Litzenberger, Markus Waser, Adam Papp, Heinrich Garn, Günther Neunteufel, Herbert Döller
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2020-01-01
シリーズ:Applied Sciences
主題:
das
オンライン・アクセス:https://www.mdpi.com/2076-3417/10/2/448
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