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Towards automated drone surveillance in railways: State-of-the-art and future directions
Ansaldo STS, Italy.ORCID iD: 0000-0002-2833-7196
3F & EDIN Centro Direzionale Is. E/7, Italy.
Ansaldo STS, Italy.
Ansaldo STS, Italy.
2016 (English)In: Advanced Concepts for Intelligent Vision Systems. ACIVS 2016 / [ed] Blanc-Talon J., Distante C., Philips W., Popescu D., Scheunders P., Springer, 2016, p. 336-348Conference paper, Published paper (Refereed)
Abstract [en]

The usage of UAV (Unmanned Aerial Vehicles) – widely known as ‘drones’ – is being increasingly investigated in a variety of surveillance scenarios. Being an emerging technology, several challenges still need to be tackled in order to make drones suitable in real applications with strict performance, dependability and privacy requirements. In particular, the monitoring of transit infrastructures represents one critical domain in which drones could be of huge help to reduce costs and possibly increase the granularity of surveillance. Furthermore, drones pave the way to the implementation of smart-sensing functionalities expanding current capabilities in railway monitoring, to support automation, safety of operations, prognostics and even forensic analyses. In this paper we provide a survey of current drone technology and their possible applications to automated railway surveillance, taking into account technical issues and environmental constraints. A current experimentation with drone intelligent video will be addressed, highlighting some preliminary results and future perspectives. © Springer International Publishing AG 2016.

Place, publisher, year, edition, pages
Springer, 2016. p. 336-348
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10016
Keywords [en]
Artificial vision, Drones, Monitoring, Railways, Smart-sensing, Surveillance, UAV, Automation, Computer vision, Environmental technology, Railroads, Space surveillance, Transportation, Emerging technologies, Environmental constraints, Future perspectives, Privacy requirements, Smart sensing, Transit infrastructure, Uav (unmanned aerial vehicles), Unmanned aerial vehicles (UAV)
National Category
Embedded Systems
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-73648DOI: 10.1007/978-3-319-48680-2_30Scopus ID: 2-s2.0-84994403152ISBN: 9783319486796 (print)OAI: oai:DiVA.org:lnu-73648DiVA, id: diva2:1213267
Conference
17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016; Lecce; Italy; 24-27 October 2016
Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2018-06-07Bibliographically approved

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Flammini, Francesco

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CiteExportLink to record
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Citation style
  • apa
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  • Other locale
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Output format
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