Technical Analysis Applied in the Inspection of Distress on the Surface of Asphalt Pavement using Remotely Piloted Aircraft (RPA)

The transport sector can be considered one of the most important in promoting urban mobility in Brazil. The lack of efficient road planning and transport greatly affects people's daily journeys. Another important factor is the increase in the number of vehicles in Brazilian municipalities, which also contributes to the negative outlook regarding traffic in Brazil. This work aimed to use Remotely Piloted Aircraft (RPA) to obtain images that enable analyzes of the surface conditions of the asphalt pavement. The place where the study was carried out was the BRT TransOeste corridor in Rio de Janeiro, which connects the Barra da Tijuca region to Santa Cruz and Campo Grande, passing through Guaratiba and Recreio dos Bandeirantes. The following procedures were adopted: flight planning with RPA, observing the Ground Sample Distance (GSD) recommended by scientific literature, field support using Global Navigation Satellite System (GNSS) Networked Transport of Radio Technical Committee for Maritime Service (RTCM) via Internet Protocol (NTRIP) technology, processing of images obtained using Agisoft software, generation of orthophoto orthorectified and assessment of distress on the asphalt surface based on the analysis of images obtained with RPA using the Pavement Condition Index (PCI).

Authors

Institutions

Publication Details

Journal
Anuário do Instituto de Geociências
Published
2025-08-20
DOI
https://doi.org/10.11137/1982-3908_2025_48_65094
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technical Analysis Applied in the Inspection of Distress on the Surface of Asphalt Pavement using Remotely Piloted Aircraft (RPA)

Hélio Lopes Guerra Neto, Sérgio Orlando Antoun Netto, Sandra Oda, Leonardo Vieira Barbalho
Anuário do Instituto de Geociências
Infrastructure Maintenance and Monitoring
article

Technical Analysis Applied in the Inspection of Distress on the Surface of Asphalt Pavement using Remotely Piloted Aircraft (RPA)

Hélio Lopes Guerra Neto, Sérgio Orlando Antoun Netto, Sandra Oda, Leonardo Vieira Barbalho
article en

Abstract

The transport sector can be considered one of the most important in promoting urban mobility in Brazil. The lack of efficient road planning and transport greatly affects people's daily journeys. Another important factor is the increase in the number of vehicles in Brazilian municipalities, which also contributes to the negative outlook regarding traffic in Brazil. This work aimed to use Remotely Piloted Aircraft (RPA) to obtain images that enable analyzes of the surface conditions of the asphalt pavement. The place where the study was carried out was the BRT TransOeste corridor in Rio de Janeiro, which connects the Barra da Tijuca region to Santa Cruz and Campo Grande, passing through Guaratiba and Recreio dos Bandeirantes. The following procedures were adopted: flight planning with RPA, observing the Ground Sample Distance (GSD) recommended by scientific literature, field support using Global Navigation Satellite System (GNSS) Networked Transport of Radio Technical Committee for Maritime Service (RTCM) via Internet Protocol (NTRIP) technology, processing of images obtained using Agisoft software, generation of orthophoto orthorectified and assessment of distress on the asphalt surface based on the analysis of images obtained with RPA using the Pavement Condition Index (PCI).

Anuário do Instituto de GeociênciasVol. 48
Universidade Federal do Rio de Janeiro (BR), Universidade do Estado do Rio de Janeiro (BR), Michigan State University (US)
Openalex Percentile: Top 77%
Infrastructure Maintenance and Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.