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Rock Falls Impacting Railway Tracks: Detection Analysis through an Artificial Intelligence Camera Prototype
Joint Authors
Fantini, Andrea
Fiorucci, Matteo
Martino, Salvatore
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
During the last few years, several approaches have been proposed to improve early warning systems for managing geological risk due to landslides, where important infrastructures (such as railways, highways, pipelines, and aqueducts) are exposed elements.
In this regard, an Artificial intelligence Camera Prototype (AiCP) for real-time monitoring has been integrated in a multisensor monitoring system devoted to rock fall detection.
An abandoned limestone quarry was chosen at Acuto (central Italy) as test-site for verifying the reliability of the integrated monitoring system.
A portion of jointed rock mass, with dimensions suitable for optical monitoring, was instrumented by extensometers.
One meter of railway track was used as a target for fallen blocks and a weather station was installed nearby.
Main goals of the test were (i) evaluating the reliability of the AiCP and (ii) detecting rock blocks that reach the railway track by the AiCP.
At this aim, several experiments were carried out by throwing rock blocks over the railway track.
During these experiments, the AiCP detected the blocks and automatically transmitted an alarm signal.
American Psychological Association (APA)
Fantini, Andrea& Fiorucci, Matteo& Martino, Salvatore. 2017. Rock Falls Impacting Railway Tracks: Detection Analysis through an Artificial Intelligence Camera Prototype. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1206328
Modern Language Association (MLA)
Fantini, Andrea…[et al.]. Rock Falls Impacting Railway Tracks: Detection Analysis through an Artificial Intelligence Camera Prototype. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1206328
American Medical Association (AMA)
Fantini, Andrea& Fiorucci, Matteo& Martino, Salvatore. Rock Falls Impacting Railway Tracks: Detection Analysis through an Artificial Intelligence Camera Prototype. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1206328
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206328