lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Railway infrastructure monitoring by drones
Ansaldo STS, Italy.ORCID iD: 0000-0002-2833-7196
Ansaldo STS, Italy.
Ansaldo STS, Italy.
2017 (English)In: 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016, IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, there has been an increasing interest in the adoption of drones for monitoring a variety of infrastructures. Infrastructure monitoring systems are widely adopted to detect faults before they can lead to severe failures. They can be found in a number of civil structures, including bridges and viaducts, and also in many other applications of smart-maintenance, prognostics, health and security monitoring. This paper explores the usage of drones in railways for early warning, situation assessment and decision support applications. It leverages already available technological and research achievements for drone-based surveillance. The aim of the study is to preliminarily evaluate drone capabilities in a railway monitoring framework including structural faults and security threat detection as well as investigation on the consequences of natural hazards and intentional attacks. © 2016 IEEE.

Place, publisher, year, edition, pages
IEEE, 2017.
Keywords [en]
diagnostics, maintenance, mass-transit, physical security, Situation assessment, structural health, Bridges, Decision support systems, Drones, Electric railroads, Electric utilities, Fault detection, Fighter aircraft, Plasma diagnostics, Propulsion, Railroads, Roads and streets, Ship propulsion, Ships, Structural health monitoring, Transportation, Unmanned aerial vehicles (UAV), Decision support applications, Infrastructure monitoring, Mass transit, Railway infrastructure, Research achievements, Railroad transportation
National Category
Computer Systems
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-73642DOI: 10.1109/ESARS-ITEC.2016.7841398Scopus ID: 2-s2.0-85015425380ISBN: 9781509008148 (print)OAI: oai:DiVA.org:lnu-73642DiVA, id: diva2:1213141
Conference
2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016, 2 November 2016 through 4 November 2016
Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2018-06-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Flammini, Francesco

Search in DiVA

By author/editor
Flammini, Francesco
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf