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Istituto di Scienza e Tecnologie dell'Informazione     
Fantini A., Magrini M., Martino S., Moroni D., Pieri G., Prestininzi A., Salvetti O. Experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways. In: IMTA 2015 - 5th International Workshop on Image Mining. Theory and Applications (Berlin, 11-14 March 2015). Proceedings, pp. 85 - 91. Igor Gurevich, Heinrich Niemann, Ovidio Salvetti and Bernd Radig (eds.). SCITEPRESS - Science and Technology Publications, 2015.
 
 
Abstract
(English)
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.
Subject Real-Time Imaging
Embedded Systems
Natural Risk Monitoring
Fast Failures
Railway Monitoring
C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS
I.4.8 IMAGE PROCESSING AND COMPUTER VISION. Scene Analysis
I.4.9 IMAGE PROCESSING AND COMPUTER VISION. Applications


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