UAV-based deep learning applications for automated inspection of civil infrastructure

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-06-07 DOI:10.1016/j.autcon.2025.106285

Chen Lyu , Shaoqian Lin , Angus Lynch , Yang Zou , Minas Liarokapis

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Abstract

Modern technologies such as Unmanned Aerial Vehicle (UAV)-based inspection and deep learning (DL) algorithms introduce new opportunities and challenges in Civil Engineering. To better facilitate the adoption and advancement of UAV-based detection technologies, this paper conducts a systematic literature review on a plethora of articles and performs a comprehensive investigation and comparison across four different topics: (1) investigating the technical specifications of currently utilized UAV platforms and of the employed on-board sensors, (2) summarizing the categories of inspected infrastructure and the corresponding defects, (3) collecting publicly available datasets established on infrastructure defects, (4) illustrating and comparing DL algorithms designed for defect detection. Based on the analysis of collected related work, challenges hindering the development of UAV-based infrastructure inspection, solutions, and potential future opportunities are proposed. This review is aimed at assisting researchers and practitioners to accelerate progress toward more efficient and safe autonomous UAV-based structural inspection in civil engineering.

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基于无人机的深度学习应用于民用基础设施的自动检查

基于无人机（UAV）的检测和深度学习（DL）算法等现代技术为土木工程带来了新的机遇和挑战。为了更好地促进基于无人机的探测技术的采用和进步，本文对大量文章进行了系统的文献综述，并对四个不同的主题进行了全面的调查和比较：(1)调查目前使用的无人机平台和所使用的机载传感器的技术规格，(2)总结已检查的基础设施和相应缺陷的类别，(3)收集关于基础设施缺陷的公开可用数据集，(4)说明和比较用于缺陷检测的深度学习算法。在对收集到的相关工作进行分析的基础上，提出了阻碍无人机基础设施检测发展的挑战、解决方案和潜在的未来机遇。这篇综述旨在帮助研究人员和实践者加速在土木工程中更有效和安全的自主无人机结构检测的进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.