UAV-based road crack object-detection algorithm

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成果类型：

期刊论文

作者：

He, Xinyu;Tang, Zhiwen;Deng, Yubao;Zhou, Guoxiong;Wang, Yanfeng;...

通讯作者：

Zhou, GX;Wang, YF

作者机构：

[He, Xinyu] Cent South Univ Forestry & Technol, Coll Bangor, Changsha 410004, Hunan, Peoples R China.

[Deng, Yubao; Tang, Zhiwen; Zhou, Guoxiong] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China.

[Wang, Yanfeng] Natl Univ Def Technol, Coll Syst Engn, Changsha 410015, Hunan, Peoples R China.

[Li, Liujun] Univ Idaho, Dept Soil & Water Syst, Moscow, ID 83844 USA.

[Zhou, Guoxiong] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China.

通讯机构：

[Zhou, GX ; Wang, YF ]

Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China.

Natl Univ Def Technol, Coll Syst Engn, Changsha 410015, Hunan, Peoples R China.

语种：

英文

关键词：

Road crack object-detection;UAV;MUENet;UNFSI;MADPM;TI -UFS;E-SimOTA

期刊：

Automation in Construction

ISSN：

0926-5805

年：

2023

卷：

154

页码：

105014

DOI：

10.1016/j.autcon.2023.105014

基金类别：

National Natural Science Foundation of China#&#&#61902436

机构署名：

本校为第一且通讯机构

院系归属：

计算机与信息工程学院

摘要：

Combining an object-detection algorithm with an unmanned aerial vehicle (UAV) can accelerate the detection of road cracks. To address the difficulties of intricate crack morphology, similar color to the road, and small crack area, this paper describes a UAV road crack object-detection algorithm using MUENet. The MUENet is primarily comprised of a main and auxiliary dual-path module (MADPM), an uneven fusion structure with transpose and inception convolutions (TI-UFS) and a E-SimOTA strategy. First, the MADPM is proposed to efficiently extract the essential morphological features of cracks. Sub...

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