Identificación de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022

Goicochea Limay Kevin Junior Dagoberto; Quiliche Marín Lizeth Karina del Rosario; Romero Cueva Yoner Jaime; Quevedo Porras Violeta Zarela; Martinez Zapana Cesar Augusto

Identificación de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022

Translated title of the contribution: Identification of failures in flexible pavement using Machine Learning, Cajamarca 2022

Goicochea Limay Kevin Junior Dagoberto, Quiliche Marín Lizeth Karina del Rosario, Romero Cueva Yoner Jaime, Quevedo Porras Violeta Zarela, Martinez Zapana Cesar Augusto

Humanities

Universidad Privada del Norte

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

For many years, fault detection in flexible pavements has been carried out using traditional methods such as PCI, VIZIR, and visual observation. However, recent technologies such as artificial intelligence (AI) have been developed due to their efficiency and accuracy, using deep learning techniques related to image processing to achieve object detection and analysis. The objective of the research is to use AI through the Yolov5 software to detect and analyze faults in the pavement of the Southern Bypass, in the stretch between Óvalo Musical (Jr. Atahualpa) and Avenida Industrial. The study has an applicative and experimental scope and design, with a non-probabilistic sample based on the two most common types of faults in flexible pavements: alligator cracking and fissures.

Translated title of the contribution	Identification of failures in flexible pavement using Machine Learning, Cajamarca 2022
Original language	Spanish
Title of host publication	Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology
Subtitle of host publication	Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023
Editors	Maria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
ISBN (Electronic)	9786289520743
State	Published - 2023
Event	21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 - Buenos Aires, Argentina Duration: 19 Jul 2023 → 21 Jul 2023

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2023-July
ISSN (Electronic)	2414-6390

Conference

Conference	21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023
Country/Territory	Argentina
City	Buenos Aires
Period	19/07/23 → 21/07/23

Cite this

Dagoberto, G. L. K. J., del Rosario, Q. M. L. K., Jaime, R. C. Y., Zarela, Q. P. V., & Augusto, M. Z. C. (2023). Identificación de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022. In M. M. Larrondo Petrie, J. Texier, & R. A. R. Matta (Eds.), Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2023-July).

Dagoberto, Goicochea Limay Kevin Junior ; del Rosario, Quiliche Marín Lizeth Karina ; Jaime, Romero Cueva Yoner et al. / Identificación de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022. Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023. editor / Maria M. Larrondo Petrie ; Jose Texier ; Rodolfo Andres Rivas Matta. 2023. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

@inproceedings{7429593df86845b6b570febcd8c048d2,

title = "Identificaci{\'o}n de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022",

abstract = "For many years, fault detection in flexible pavements has been carried out using traditional methods such as PCI, VIZIR, and visual observation. However, recent technologies such as artificial intelligence (AI) have been developed due to their efficiency and accuracy, using deep learning techniques related to image processing to achieve object detection and analysis. The objective of the research is to use AI through the Yolov5 software to detect and analyze faults in the pavement of the Southern Bypass, in the stretch between {\'O}valo Musical (Jr. Atahualpa) and Avenida Industrial. The study has an applicative and experimental scope and design, with a non-probabilistic sample based on the two most common types of faults in flexible pavements: alligator cracking and fissures.",

keywords = "Failure, Flexible Pavement, Machine Learning, Paved Road, Yolov5",

author = "Dagoberto, {Goicochea Limay Kevin Junior} and {del Rosario}, {Quiliche Mar{\'i}n Lizeth Karina} and Jaime, {Romero Cueva Yoner} and Zarela, {Quevedo Porras Violeta} and Augusto, {Martinez Zapana Cesar}",

note = "Publisher Copyright: {\textcopyright} 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 ; Conference date: 19-07-2023 Through 21-07-2023",

year = "2023",

language = "Espa{\~n}ol",

series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

editor = "{Larrondo Petrie}, {Maria M.} and Jose Texier and Matta, {Rodolfo Andres Rivas}",

booktitle = "Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology",

}

Dagoberto, GLKJ, del Rosario, QMLK, Jaime, RCY, Zarela, QPV & Augusto, MZC 2023, Identificación de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022. in MM Larrondo Petrie, J Texier & RAR Matta (eds), Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2023-July, 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023, Buenos Aires, Argentina, 19/07/23.

Identificación de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022. / Dagoberto, Goicochea Limay Kevin Junior; del Rosario, Quiliche Marín Lizeth Karina; Jaime, Romero Cueva Yoner et al.
Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023. ed. / Maria M. Larrondo Petrie; Jose Texier; Rodolfo Andres Rivas Matta. 2023. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Identificación de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022

AU - Dagoberto, Goicochea Limay Kevin Junior

AU - del Rosario, Quiliche Marín Lizeth Karina

AU - Jaime, Romero Cueva Yoner

AU - Zarela, Quevedo Porras Violeta

AU - Augusto, Martinez Zapana Cesar

PY - 2023

Y1 - 2023

N2 - For many years, fault detection in flexible pavements has been carried out using traditional methods such as PCI, VIZIR, and visual observation. However, recent technologies such as artificial intelligence (AI) have been developed due to their efficiency and accuracy, using deep learning techniques related to image processing to achieve object detection and analysis. The objective of the research is to use AI through the Yolov5 software to detect and analyze faults in the pavement of the Southern Bypass, in the stretch between Óvalo Musical (Jr. Atahualpa) and Avenida Industrial. The study has an applicative and experimental scope and design, with a non-probabilistic sample based on the two most common types of faults in flexible pavements: alligator cracking and fissures.

AB - For many years, fault detection in flexible pavements has been carried out using traditional methods such as PCI, VIZIR, and visual observation. However, recent technologies such as artificial intelligence (AI) have been developed due to their efficiency and accuracy, using deep learning techniques related to image processing to achieve object detection and analysis. The objective of the research is to use AI through the Yolov5 software to detect and analyze faults in the pavement of the Southern Bypass, in the stretch between Óvalo Musical (Jr. Atahualpa) and Avenida Industrial. The study has an applicative and experimental scope and design, with a non-probabilistic sample based on the two most common types of faults in flexible pavements: alligator cracking and fissures.

KW - Failure

KW - Flexible Pavement

KW - Machine Learning

KW - Paved Road

KW - Yolov5

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M3 - Contribución a la conferencia

AN - SCOPUS:85172350980

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology

A2 - Larrondo Petrie, Maria M.

A2 - Texier, Jose

A2 - Matta, Rodolfo Andres Rivas

T2 - 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023

Y2 - 19 July 2023 through 21 July 2023

ER -

Dagoberto GLKJ, del Rosario QMLK, Jaime RCY, Zarela QPV, Augusto MZC. Identificación de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022. In Larrondo Petrie MM, Texier J, Matta RAR, editors, Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023. 2023. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

Identificación de fallas en pavimento flexible usando Machine Learning, Cajamarca-2022

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