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Resilient Computing Lab

Tool Optoelettronico per Strutture in Calce cemento Acciaio - Ferrovie Italiane

Goals and Objectives

Develop an innovative diagnostic methodology for inspection and control of railway infrastructure such as bridges built in concrete, steel, or masonry,  in order to improve the current systems based only on visual examination.

High-resolution photography and thermography will be integrated with innovative remote-sensing technologies as 3D laser scanner, and fluorescence lidar.

The consortium will study data fusion methodologies necessary to correlate and merge two-dimensional and three-dimensional images aiming at strengthen the information content. Data coming from these different sources will flow into an ICT platform (i.e. a OLAP database) for analysis and historical archiving.

Consortium

  • Te.Si.Fer. S.r.l.
  • DiMaI - Università degli Studi di Firenze
  • IFAC - CNR
  • Durazzani S.r.l. - Territorio e Ambiente
  • IAC - CNR

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