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
N1 - Publisher Copyright:
© 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
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
UR - https://www.scopus.com/pages/publications/85172350980
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 -