[HTML][HTML] An overview of drone applications in the construction industry

HW Choi, HJ Kim, SK Kim, WS Na - Drones, 2023 - mdpi.com
The integration of drones in the construction industry has ushered in a new era of efficiency,
accuracy, and safety throughout the various phases of construction projects. This paper …

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

MA Hariri-Ardebili, G Mahdavi, LK Nuss… - Engineering Applications of …, 2023 - Elsevier
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

Towards UAVs in construction: advancements, challenges, and future directions for monitoring and inspection

H Liang, SC Lee, W Bae, J Kim, S Seo - Drones, 2023 - mdpi.com
The use of UAVs for monitoring and inspection in the construction industry has garnered
considerable attention in recent years due to their potential to enhance safety, efficiency …

Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review

J Cheng, C Deng, Y Su, Z An, Q Wang - ISPRS Journal of Photogrammetry …, 2024 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …

A review of UAV integration in forensic civil engineering: From sensor technologies to geotechnical, structural and water infrastructure applications

SY Kim, DY Kwon, A Jang, YK Ju, JS Lee, S Hong - Measurement, 2024 - Elsevier
Unmanned aerial vehicles (UAVs) mounted with remote sensors have been widely used in
architectural, civil, and environmental engineering fields. In particular, UAVs are applied for …

Automatic crack detection on concrete and asphalt surfaces using semantic segmentation network with hierarchical Transformer

H Li, H Zhang, H Zhu, K Gao, H Liang, J Yang - Engineering Structures, 2024 - Elsevier
In recent studies, deep learning methodologies have shown significant promise in crack
detection. However, their practical implementation faces challenges due to the intricate …

Research on insulator defect detection based on improved YOLOv7 and multi-UAV cooperative system

R Chang, S Zhou, Y Zhang, N Zhang, C Zhou, M Li - Coatings, 2023 - mdpi.com
Insulator self-blasts, cracked insulators, and bird nests often lead to large-scale power
outages and safety accidents, while the detection system based on a single UAV and …

Geotechnical, geoelectric and tracing methods for earth/rock-fill dam and embankment leakage investigation

S Nan, J Ren, L Zhang, H Li, Z Ma, J Kang… - Surveys in Geophysics, 2024 - Springer
Earth/rock-fill dams and embankments are the main water retaining structures in hydraulic
projects, and they can effectively resist floods and are of great significance for protecting …

[HTML][HTML] Deep learning-based extraction and quantification of features in XCT images of steel corrosion in concrete

M Zhang, W Wang - Case Studies in Construction Materials, 2024 - Elsevier
The corrosion of rebars in concrete has been regarded as one of the most predominant
factors for the degradation of reinforced concrete (RC) structures. The accurate predictions …

Impact of multiple factors on the use of an UAV-mounted infrared thermography method for detection of debonding in facade tiles

L Ma, B **ong, Q Kong, X Lu - Journal of Building Engineering, 2024 - Elsevier
Anomalies detection of adhesive tiling systems on the building facade plays a crucial role in
structural healthy of buildings. Among defects, the debonding is a major potential threat due …