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Use of Unmanned Aerial Vehicles (UAVs) and Photogrammetry to Obtain the International Roughness Index (IRI) on Roads

Authors: Matías Prosser-Contreras; Edison Atencio; Felipe Muñoz La Rivera; Rodrigo F. Herrera;

Use of Unmanned Aerial Vehicles (UAVs) and Photogrammetry to Obtain the International Roughness Index (IRI) on Roads

Abstract

Road inspection and maintenance require a large amount of data collection, where the main limiting factor is the time required to cover long stretches of road, having a negative impact on the optimization of the work. This article aims to identify modern tools for road maintenance and analysis. To carry out the research, recent methodologies are used to guide the work in different stages to adequately justify the processes involved. Using unmanned aerial vehicles (UAVs), cameras, and GPS, three-dimensional virtual models are reconstructed, which are useful for extracting the necessary information since they allow for accurate replication of the captured. In this way, it is possible to obtain longitudinal profiles associated with the road, and with it, the international roughness index (IRI) is calculated, which gives results within 0.1 (m/km) of the certified official results, which shows its potential use and development.

Country
Spain
Keywords

Technology, Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Materials i estructures de formigó, QH301-705.5, QC1-999, longitudinal profile, Carreteres -- Manteniment i reparació, International roughness index, photogrammetry, road engineering, unmanned aerial vehicles (UAVs), Biology (General), Roads -- Maintenance and repair, Longitudinal profile, QD1-999, Unmanned aerial vehicles (UAVs), T, Physics, Road engineering, international roughness index, Engineering (General). Civil engineering (General), 620, 004, Chemistry, IRI, Photogrammetry, TA1-2040

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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