YOLOv9: A High-Performance Deep Learning Approach for Asphalt Pavement Distresses Detection in Roadway Images

YOLOv9: A High-Performance Deep Learning Approach for Asphalt Pavement Distresses Detection in Roadway Images

Roads are crucial infrastructure for connectivity and transportation. Various asphalt pavement distresses pose safety risks to road users and vehicles. Early detection of these distresses is crucial for road safety and efficiency. This study proposes employing the deep learning algorithm YOLOv9, the...

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Bibliographic Details
Main Authors: Fahrizal, Siti Nurjanah, Yoan Purbolingga, Dila Marta Putri, Asde Rahmawati, Bastul Wajhi Akramunnas, Muhidin Arifin
Format: Article
Language:English
Published: Universitas Riau 2025-06-01
Series:International Journal of Electrical, Energy and Power System Engineering
Subjects:
asphalt pavement distresses
deep learning
object detection
road safety
yolov9
Online Access:https://ijeepse.id/journal/index.php/ijeepse/article/view/239
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