Preventive safety analyses can help to indicate the presence of situations on a road track potentially at risk for circulation. The key objective of safety analysis is to provide a greater level of safety for all road users. In this paper the evaluation of the road degradation through image by UAV (Unmanned Aerial Vehicle) is presented. A commercial UAV allowing real-time control of a given area and the detection of begging in the flooring required maintenance was used. Particular attention was given to the post-processing procedure of images by experimenting with the use of different ad hoc algorithms that involve the combination of various methodologies. The first tests to provide a continuous monitoring system on the infrastructure were also developed during the acquisition of the images. The proposed system automatically allows to acquire data through a fleet of drones that rise in flight from wireless charging bases, transmitting the acquired data to a cloud platform where they are processed, and finally updating the GIS (Cadastre Roads).

Road safety: Road degradation survey through images by UAV / Barrile, V., Bernardo, E., Fotia, A., Candela, G., Bilotta, G.. - In: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT. - ISSN 1790-5079. - 16:(2020), pp. 649-659. [10.37394/232015.2020.16.67]

Road safety: Road degradation survey through images by UAV

Barrile V.;Fotia A.;
2020-01-01

Abstract

Preventive safety analyses can help to indicate the presence of situations on a road track potentially at risk for circulation. The key objective of safety analysis is to provide a greater level of safety for all road users. In this paper the evaluation of the road degradation through image by UAV (Unmanned Aerial Vehicle) is presented. A commercial UAV allowing real-time control of a given area and the detection of begging in the flooring required maintenance was used. Particular attention was given to the post-processing procedure of images by experimenting with the use of different ad hoc algorithms that involve the combination of various methodologies. The first tests to provide a continuous monitoring system on the infrastructure were also developed during the acquisition of the images. The proposed system automatically allows to acquire data through a fleet of drones that rise in flight from wireless charging bases, transmitting the acquired data to a cloud platform where they are processed, and finally updating the GIS (Cadastre Roads).
2020
Inglese
16
649
659
11
Esperti anonimi
GIS
Image analysis
Image classification
Segmentation
UAV
Internazionale
No
Barrile, V.; Bernardo, E.; Fotia, A.; Candela, G.; Bilotta, G.
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
Road safety: Road degradation survey through images by UAV / Barrile, V., Bernardo, E., Fotia, A., Candela, G., Bilotta, G.. - In: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT. - ISSN 1790-5079. - 16:(2020), pp. 649-659. [10.37394/232015.2020.16.67]
5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/121603
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