Computer vision framework for crack detection of civil infrastructure—A review

D Ai, G Jiang, SK Lam, P He, C Li - Engineering Applications of Artificial …, 2023‏ - Elsevier
Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …

Structural crack detection using deep convolutional neural networks

R Ali, JH Chuah, MSA Talip, N Mokhtar… - Automation in …, 2022‏ - Elsevier
Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …

Machine learning applications for building structural design and performance assessment: State-of-the-art review

H Sun, HV Burton, H Huang - Journal of Building Engineering, 2021‏ - Elsevier
Abstract Machine learning models have been shown to be useful for predicting and
assessing structural performance, identifying structural condition and informing preemptive …

Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020‏ - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives

MQ Huang, J Ninić, QB Zhang - Tunnelling and Underground Space …, 2021‏ - Elsevier
The architecture, engineering and construction (AEC) industry is experiencing a
technological revolution driven by booming digitisation and automation. Advances in …

Advances in computer vision-based civil infrastructure inspection and monitoring

BF Spencer Jr, V Hoskere, Y Narazaki - Engineering, 2019‏ - Elsevier
Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …

Damage detection techniques for wind turbine blades: A review

Y Du, S Zhou, X **g, Y Peng, H Wu, N Kwok - Mechanical Systems and …, 2020‏ - Elsevier
Blades play a vital role in wind turbine system performances. However, they are susceptible
to damage arising from complex and irregular loading or even cause catastrophic collapse …

Building Information Modeling (BIM) for transportation infrastructure–Literature review, applications, challenges, and recommendations

A Costin, A Adibfar, H Hu, SS Chen - Automation in construction, 2018‏ - Elsevier
Transportation infrastructure is a critical component to a nation's economy, security, and
wellbeing. In order to keep up with the rising population, there is a great need for more …

Image‐based post‐disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

X Liang - Computer‐Aided Civil and Infrastructure Engineering, 2019‏ - Wiley Online Library
Many bridge structures, one of the most critical components in transportation infrastructure
systems, exhibit signs of deteriorations and are approaching or beyond the initial design …

Drone-enabled bridge inspection methodology and application

J Seo, L Duque, J Wacker - Automation in construction, 2018‏ - Elsevier
Abstract The field of Civil Engineering has lately gained increasing interest in Unmanned
Aerial Vehicles (UAV), commonly referred to as drones. Due to an increase of deteriorating …