Automatic Detection of Pothole Distress in Asphalt Pavement Using Improved Convolutional Neural Networks

Automatic Detection of Pothole Distress in Asphalt Pavement Using Improved Convolutional Neural Networks

To realize the intelligent and accurate measurement of pavement surface potholes, an improved You Only Look Once version three (YOLOv3) object detection model combining data augmentation and structure optimization is proposed in this study. First, color adjustment was used to enhance the image contr...

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Bibliographic Details
Main Authors: Danyu Wang, Zhen Liu, Xingyu Gu, Wenxiu Wu, Yihan Chen, Lutai Wang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
pavement distress
pothole detection
YOLOv3
data augmentation
robustness
Online Access:https://www.mdpi.com/2072-4292/14/16/3892

Internet

https://www.mdpi.com/2072-4292/14/16/3892

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