A systematic review of convolutional neural network-based structural condition assessment techniques
With recent advances in non-contact sensing technology such as cameras, unmanned aerial
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …
recent technological advancements in sensors, as well as high-speed internet and cloud …
Machine learning paradigm for structural health monitoring
Structural health diagnosis and prognosis is the goal of structural health monitoring.
Vibration-based structural health monitoring methodology has been extensively …
Vibration-based structural health monitoring methodology has been extensively …
Advances in computer vision-based civil infrastructure inspection and monitoring
Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …
Automated crack segmentation in close-range building façade inspection images using deep learning techniques
Nowadays, unmanned aerial vehicles (UAVs) are frequently used for periodic visual
inspection of building envelopes to detect unsafe conditions or vulnerable damages …
inspection of building envelopes to detect unsafe conditions or vulnerable damages …
[HTML][HTML] Damage-augmented digital twins towards the automated inspection of buildings
Current procedures for the rapid inspection of buildings and infrastructure are subjective,
time-consuming, and cumbersome to document, necessitating new technologies to …
time-consuming, and cumbersome to document, necessitating new technologies to …
[HTML][HTML] Post-earthquake building evaluation using UAVs: A BIM-based digital twin framework
Computer vision has shown potential for assisting post-earthquake inspection of buildings
through automatic damage detection in images. However, assessing the safety of an …
through automatic damage detection in images. However, assessing the safety of an …
Automatic concrete defect detection and reconstruction by aligning aerial images onto semantic‐rich building information model
Concrete defect information is of vital importance to building maintenance. Increasingly,
computer vision has been explored for automated concrete defect detection. However …
computer vision has been explored for automated concrete defect detection. However …
Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network
C **ong, Q Li, X Lu - Automation in Construction, 2020 - Elsevier
A rapid assessment of the seismic damage to buildings can facilitate improved emergency
response and timely relief in earthquake-prone areas. In this study, an automated building …
response and timely relief in earthquake-prone areas. In this study, an automated building …
Multiclass seismic damage detection of buildings using quantum convolutional neural network
The traditional visual inspection technique for damage assessment of buildings immediately
after an earthquake can be time‐consuming, labor‐intensive, and risky. Numerous studies …
after an earthquake can be time‐consuming, labor‐intensive, and risky. Numerous studies …