Experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways
Fantini A., Magrini M., Martino S., Moroni D., Pieri G., Prestininzi A., Salvetti O.
Real-Time Imaging Embedded Systems Natural Risk Monitoring Fast Failures Railway Monitoring
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.
Source: IMTA 2015 - 5th International Workshop on Image Mining. Theory and Applications, pp. 85–91, Berlin, Germany, 11-14 March 2015
Publisher: SCITEPRESS - Science and Technology Publications, digital library, USA
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@inproceedings{oai:it.cnr:prodotti:327843,
title = {Experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways},
author = {Fantini A. and Magrini M. and Martino S. and Moroni D. and Pieri G. and Prestininzi A. and Salvetti O.},
publisher = {SCITEPRESS - Science and Technology Publications, digital library, USA},
booktitle = {IMTA 2015 - 5th International Workshop on Image Mining. Theory and Applications, pp. 85–91, Berlin, Germany, 11-14 March 2015},
year = {2015}
}
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