Towards fully automated unmanned aerial vehicle-enabled bridge inspection: Where are we at?

被引:28
|
作者
Zhang, Cheng [1 ]
Zou, Yang [1 ]
Wang, Feng [1 ]
Castillo, Enrique del Rey [1 ]
Dimyadi, Johannes [2 ,3 ]
Chen, Long [4 ]
机构
[1] Univ Auckland, Dept Civil & Environm Engn, Auckland 1010, New Zealand
[2] Univ Auckland, Sch Comp Sci, Auckland 1010, New Zealand
[3] Compliance Audit Syst Ltd, Auckland 1010, New Zealand
[4] Loughborough Univ, Sch Architecture Bldg & Civil Engn, Loughborough LE11 3TU, England
关键词
Unmanned Aerial Vehicle (UAV); Bridge inspection; Bridge damage detection; Automation; ARTIFICIAL-INTELLIGENCE; FLIGHT CONTROL; UAV; SYSTEM; METHODOLOGY; FEASIBILITY; MULTICOPTER; SIMULATION; CHALLENGES; MANAGEMENT;
D O I
10.1016/j.conbuildmat.2022.128543
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In recent years, Unmanned Aerial Vehicles (UAVs) have been increasingly used for bridge inspection. Although UAVs are expected to automate the whole bridge inspection process ranging from data collection and analysis to decision-making, most existing efforts still require substantial human intervention. There is currently no study that examines the state-of-the-art of automated UAV-enabled bridge inspection (UBI). This study conducts a systematic review of 115 journal articles published from 2007 to 2021 to understand the level of automation (LoA) of existing UBI approaches, highlight challenges and guide future research. The data collected was coded through a template analysis and assessed against a pre-designed LoA scale for UBI. Bibliometric and LoA analyses present in-depth insights into UBI both quantitatively and qualitatively. Furthermore, relevant challenges and future research opportunities towards fully automated UBI are discussed.
引用
收藏
页数:21
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