NDLI: An innovative on-board processor for the real-time GPR monitoring of railway substructure conditions

Content Provider	IEEE Xplore Digital Library
Author	Caorsi, S. Cevini, G. Burro, F. Sciotti, M. Sorge, S.
Copyright Year	2007
Description	Author affiliation: Department of Electronics, University of Pavia via Ferrata 1, 27100 Pavia, Italy (Caorsi, S.) \|\| Department of Electronics, University of Pavia via Ferrata 1, 27100 Pavia, Italy, gaia.cevini@unipv.it (Cevini, G.) \|\| Surveillance and Monitoring Systems Unit, D'Appolonia S.p.A. Largo Salinari 18-19, 00142 Rome, Italy, saferail@dappolonia.it (Burro, F.) \|\| Surveillance and Monitoring Systems Unit, D'Appolonia S.p.A. Largo Salinari 18-19, 00142 Rome, Italy (Sciotti, M.; Sorge, S.)
Abstract	The SAFE-RAIL system and the relevant processing unit are hereafter described as a success case for the solution of an electromagnetic inverse problem in real-time applications. The SAFE-RAIL system on-board processing unit is conceived for providing functionalities for real-time exploitation of raw data deriving from microwave sensing action through innovative GPR equipment. In particular, the main objective, as per European STREP project SAFE-RAIL statements, is focused on automatic interpretation of microwave sensed data relevant to rail-track subsurface, aiming at characterizing the ballast and sub-ballast layer properties with consequent extraction in real-time of geophysical parameters. A neural network based approach has been exploited as an efficient way for solving the inverse problem through a "learning-by-examples" approach. The capability of the SAFE-RAIL system in matching real-time performance requirements has been investigated. System operability and cost-effective implementation issues have also been deeply addressed.
Starting Page	284
Ending Page	289
File Size	5200368
Page Count	6
File Format	PDF
ISBN	1424408865
DOI	10.1109/AGPR.2007.386568
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-27
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ground penetrating radar Condition monitoring Rail transportation Real time systems Inverse problems Radar tracking Neural networks Sustainable development Buried object detection Electronic ballasts neural networks Ground Penetrating Radar rail track diagnostic inverse problems
Content Type	Text
Resource Type	Article

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