Review of UAV–AI-Based Automated Visual Inspection Technologies and Their Applicability to High-Risk Construction Machinery

Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have recently emerged as effective tools for automating safety inspections in hazardous and hard-to-reach industrial environments.UAV-AI-based automated visual inspection technologies have been widely applied to infrastructure such as bridges, towers, and port facilities to detect, segment, and classify surface defects.However, their application to high-risk construction machinery remains limited, and few review studies have addressed this gap.This study provides a comprehensive review of existing UAV-AI inspection technologies and evaluates their applicability to heavy construction equipment such as tower cranes and pile drivers.The findings aim to establish a conceptual foundation for future research and offer strategic insights into the development of intelligent, real-time, and automated inspection systems suitable for complex and high-risk construction environments.

Authors

Institutions

Publication Details

Journal
Journal of the Korean Society of Mineral and Energy Resources Engineers
Published
2025-10-31
DOI
https://doi.org/10.32390/ksmer.2025.62.5.567
Citations
1
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Review of UAV–AI-Based Automated Visual Inspection Technologies and Their Applicability to High-Risk Construction Machinery

Yosoon Choi, H. X. Yang, Seungdo Kim
1 citations
Journal of the Korean Society of Mineral and Energy Resources Engineers
Infrastructure Maintenance and Monitoring
0.95
article

Review of UAV–AI-Based Automated Visual Inspection Technologies and Their Applicability to High-Risk Construction Machinery

Yosoon Choi, H. X. Yang, Seungdo Kim
article en
1 citations

Abstract

Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have recently emerged as effective tools for automating safety inspections in hazardous and hard-to-reach industrial environments.UAV-AI-based automated visual inspection technologies have been widely applied to infrastructure such as bridges, towers, and port facilities to detect, segment, and classify surface defects.However, their application to high-risk construction machinery remains limited, and few review studies have addressed this gap.This study provides a comprehensive review of existing UAV-AI inspection technologies and evaluates their applicability to heavy construction equipment such as tower cranes and pile drivers.The findings aim to establish a conceptual foundation for future research and offer strategic insights into the development of intelligent, real-time, and automated inspection systems suitable for complex and high-risk construction environments.

Journal of the Korean Society of Mineral and Energy Resources EngineersVol. 62(5)
Lux Research (United States) (US)
Openalex Percentile: Top 20%
Infrastructure Maintenance and Monitoring
0.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.