A review of computer vision–based structural health monitoring at local and global levels
Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …
has gained much attention in the structural health monitoring community in research and …
[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …
management and logistic challenges which often result in design defects, project delivery …
[HTML][HTML] 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 …
Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Computer vision-based concrete crack detection using U-net fully convolutional networks
For the first time, U-Net is adopted to detect the concrete cracks in the present study. Focal
loss function is selected as the evaluation function, and the Adam algorithm is applied for …
loss function is selected as the evaluation function, and the Adam algorithm is applied for …
[HTML][HTML] Image-based crack detection methods: A review
Annually, millions of dollars are spent to carry out defect detection in key infrastructure
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
[HTML][HTML] 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 …
Automatic pixel‐level crack detection and measurement using fully convolutional network
The spatial characteristics of cracks are significant indicators to assess and evaluate the
health of existing buildings and infrastructures. However, the current manual crack …
health of existing buildings and infrastructures. However, the current manual crack …
Review on computer vision-based crack detection and quantification methodologies for civil structures
Computer vision-based crack analysis for civil infrastructure has become popular to
automatically process inspection imaging data for crack detection, localisation and …
automatically process inspection imaging data for crack detection, localisation and …
Autonomous structural visual inspection using region‐based deep learning for detecting multiple damage types
Computer vision‐based techniques were developed to overcome the limitations of visual
inspection by trained human resources and to detect structural damage in images remotely …
inspection by trained human resources and to detect structural damage in images remotely …