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
GIS
Image analysis
Image classification
Segmentation
UAV
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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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