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Authors: Andrea Fantini 1 ; Massimo Magrini 2 ; Salvatore Martino 1 ; Davide Moroni 2 ; Gabriele Pieri 2 ; Alberto Prestininzi 3 and Ovidio Salvetti 2

Affiliations: 1 Department of Earth Sciences and Research Center for the Geological Risks (CERI) and University of Rome “La Sapienza”, Italy ; 2 Institute of Information Science and Technologies, National Research Council, Via Moruzzi and 1, Italy ; 3 Department of Earth Sciences and Research Center for the Geological Risks (CERI) and University of Rome “La Sapienza", Italy

Keyword(s): Real-Time Imaging, Embedded Systems, Natural Risk Monitoring, Fast Failures, Railway Monitoring

Abstract: This paper deals with a project for real-time monitoring of railway tracks to detect events, such as fast failures from natural risks, which may threaten the transit of trains. The paper describes a network of smart sensors for early warning of these endangering events. Three main types of fast-failure events involving railways were identified: sinkhole, rock and debris falls. A case study on a known test site and experimentation with various scenarios were carried out with a view to developing algorithms capable of spotting and localising them. Results demonstrate the good performance of the network in monitoring the investigated events.

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Paper citation in several formats:
Fantini, A.; Magrini, M.; Martino, S.; Moroni, D.; Pieri, G.; Prestininzi, A. and Salvetti, O. (2015). Experimenting an Embedded-sensor Network for Early Warning of Natural Risks Due to Fast Failures along Railways. In Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2015) - IMTA-5; ISBN 978-989-758-094-9, SciTePress, pages 85-91. DOI: 10.5220/0005462200850091

@conference{imta-515,
author={Andrea Fantini. and Massimo Magrini. and Salvatore Martino. and Davide Moroni. and Gabriele Pieri. and Alberto Prestininzi. and Ovidio Salvetti.},
title={Experimenting an Embedded-sensor Network for Early Warning of Natural Risks Due to Fast Failures along Railways},
booktitle={Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2015) - IMTA-5},
year={2015},
pages={85-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005462200850091},
isbn={978-989-758-094-9},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2015) - IMTA-5
TI - Experimenting an Embedded-sensor Network for Early Warning of Natural Risks Due to Fast Failures along Railways
SN - 978-989-758-094-9
AU - Fantini, A.
AU - Magrini, M.
AU - Martino, S.
AU - Moroni, D.
AU - Pieri, G.
AU - Prestininzi, A.
AU - Salvetti, O.
PY - 2015
SP - 85
EP - 91
DO - 10.5220/0005462200850091
PB - SciTePress

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