Application of Combining YOLO Models and 3D GPR Images in Road Detection and Maintenance

Improving the detection efficiency and maintenance benefits is one of the greatest challenges in road testing and maintenance. To address this problem, this paper presents a method for combining the you only look once (YOLO) series with 3D ground-penetrating radar (GPR) images to recognize the inter...

詳細記述

書誌詳細

主要な著者:	Zhen Liu, Wenxiu Wu, Xingyu Gu, Shuwei Li, Lutai Wang, Tianjie Zhang
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-03-01
シリーズ:	Remote Sensing
主題:	ground-penetrating radar road defect detection YOLOv5 models road defects image recognition road maintenance benefit road maintenance effectiveness
オンライン･アクセス:	https://www.mdpi.com/2072-4292/13/6/1081
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