Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) Measurements

Surface surveys of asphalt concrete pavement condition the maintenance and rehabilitation solutions employed; however, they are laborious protocols for field operators. The use of Unmanned Aerial Vehicles (UAVs) in the remote assessment of these pavements has become an alternative, but still lacks v...

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Autores: Nunes-Ramos, Victória, Viera Trevisan, Eduardo, Pivoto Specht, Luciano, da Silva Pereira, Deividi, Dotto Bueno, Lucas
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:Brasil
Institución:Universidade Federal do Rio de Janeiro (UFRJ)
Repositorio:Anuário do Instituto de Geociências (Online)
Idioma:inglés
OAI Identifier:oai:ojs.pkp.sfu.ca:article/64125
Acceso en línea:https://revistas.ufrj.br/index.php/aigeo/article/view/64125
Access Level:acceso abierto
Palabra clave:Pavement management
Image processing
Remote pavement assessment
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spelling Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) MeasurementsPavement managementImage processingRemote pavement assessmentSurface surveys of asphalt concrete pavement condition the maintenance and rehabilitation solutions employed; however, they are laborious protocols for field operators. The use of Unmanned Aerial Vehicles (UAVs) in the remote assessment of these pavements has become an alternative, but still lacks validation about current Brazilian regulations. This study sought to compare conventional surface assessment methods (DNIT 006/2003 - PRO, DNIT 007/2003 – PRO, and DNIT 433/2021 - PRO) with the survey carried out by UAV, and to compare the DNIT’s cracked area assessment methods. The assessment was carried out over two 400-meter stretches. The DNIT 433/2021 - PRO standard was more conservative than the DNIT 007/2003 - PRO protocol in determining the cracked area. In addition, the two segments result in the same Global Gravity Index (GGI) classification between the walking and UAV methodsonly when rutting is disregarded. It was also found that the device achieved, on average, 82% of the cracked area values obtained by the DNIT 007/2003 - PRO and DNIT 433/2021 - PRO standards. Thus, it was possible to verify that the Brazilian regulations generate different cracked area results, being used for other purposes and that the UAV, in the scope of this work, the UAV was a technically viable alternative for speeding up the evaluations but was unable to identify cracks with smaller openings (FC-1 class) and threedimensional distresses.Universidade Federal do Rio de Janeiro2024-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/6412510.11137/1982-3908_2024_47_64125Anuário do Instituto de Geociências; v. 47 (2024): Anuário do Instituto de GeociênciasAnuário do Instituto de Geociências; Vol. 47 (2024): Anuário do Instituto de Geociências1982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/64125/42557https://creativecommons.org/licenses/by/4.0/deed.eninfo:eu-repo/semantics/openAccessNunes-Ramos, VictóriaViera Trevisan, EduardoPivoto Specht, Lucianoda Silva Pereira, DeividiDotto Bueno, Lucas2025-01-17T22:20:56Zoai:ojs.pkp.sfu.ca:article/64125Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2025-01-17T22:20:56Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) Measurements
title Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) Measurements
spellingShingle Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) Measurements
Nunes-Ramos, Victória
Pavement management
Image processing
Remote pavement assessment
title_short Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) Measurements
title_full Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) Measurements
title_fullStr Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) Measurements
title_full_unstemmed Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) Measurements
title_sort Distress Manifestation in Asphalt Pavements: Comparison between Local and Unmanned Aerial Vehicle (UAV) Measurements
dc.creator.none.fl_str_mv Nunes-Ramos, Victória
Viera Trevisan, Eduardo
Pivoto Specht, Luciano
da Silva Pereira, Deividi
Dotto Bueno, Lucas
author Nunes-Ramos, Victória
author_facet Nunes-Ramos, Victória
Viera Trevisan, Eduardo
Pivoto Specht, Luciano
da Silva Pereira, Deividi
Dotto Bueno, Lucas
author_role author
author2 Viera Trevisan, Eduardo
Pivoto Specht, Luciano
da Silva Pereira, Deividi
Dotto Bueno, Lucas
author2_role author
author
author
author
dc.subject.por.fl_str_mv Pavement management
Image processing
Remote pavement assessment
topic Pavement management
Image processing
Remote pavement assessment
description Surface surveys of asphalt concrete pavement condition the maintenance and rehabilitation solutions employed; however, they are laborious protocols for field operators. The use of Unmanned Aerial Vehicles (UAVs) in the remote assessment of these pavements has become an alternative, but still lacks validation about current Brazilian regulations. This study sought to compare conventional surface assessment methods (DNIT 006/2003 - PRO, DNIT 007/2003 – PRO, and DNIT 433/2021 - PRO) with the survey carried out by UAV, and to compare the DNIT’s cracked area assessment methods. The assessment was carried out over two 400-meter stretches. The DNIT 433/2021 - PRO standard was more conservative than the DNIT 007/2003 - PRO protocol in determining the cracked area. In addition, the two segments result in the same Global Gravity Index (GGI) classification between the walking and UAV methodsonly when rutting is disregarded. It was also found that the device achieved, on average, 82% of the cracked area values obtained by the DNIT 007/2003 - PRO and DNIT 433/2021 - PRO standards. Thus, it was possible to verify that the Brazilian regulations generate different cracked area results, being used for other purposes and that the UAV, in the scope of this work, the UAV was a technically viable alternative for speeding up the evaluations but was unable to identify cracks with smaller openings (FC-1 class) and threedimensional distresses.
publishDate 2024
dc.date.none.fl_str_mv 2024-12-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/64125
10.11137/1982-3908_2024_47_64125
url https://revistas.ufrj.br/index.php/aigeo/article/view/64125
identifier_str_mv 10.11137/1982-3908_2024_47_64125
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/64125/42557
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0/deed.en
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/deed.en
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; v. 47 (2024): Anuário do Instituto de Geociências
Anuário do Instituto de Geociências; Vol. 47 (2024): Anuário do Instituto de Geociências
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Anuário do Instituto de Geociências (Online)
collection Anuário do Instituto de Geociências (Online)
repository.name.fl_str_mv Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv anuario@igeo.ufrj.br||
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