Structural crack detection using deep convolutional neural networks
Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …
range of computer vision problems. It has achieved encouraging results in numerous …
Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering
Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …
widely used recently to solve various engineering problems in logistics, manufacturing, and …
Efficient attention-based deep encoder and decoder for automatic crack segmentation
Recently, crack segmentation studies have been investigated using deep convolutional
neural networks. However, significant deficiencies remain in the preparation of ground truth …
neural networks. However, significant deficiencies remain in the preparation of ground truth …
3D vision technologies for a self-developed structural external crack damage recognition robot
Persistent cracking and progressive damage can weaken the operational performance of
structures such as bridges, dams, and concrete buildings. Consequently, research into …
structures such as bridges, dams, and concrete buildings. Consequently, research into …
Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
A connected autonomous vehicle (CAV) network can be defined as a set of connected
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
Machine learning techniques for pavement condition evaluation
Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …
authorities are concerned about preserving their priceless road assets for a longer time to …
Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images
The conventional method of manually verifying the quality of tiled sidewalks is laborious,
because of the time-consuming identification of cracks from numerous grid-like elements of …
because of the time-consuming identification of cracks from numerous grid-like elements of …
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 …
A lightweight encoder–decoder network for automatic pavement crack detection
Cracks are the most common damage type on the pavement surface. Usually, pavement
cracks, especially small cracks, are difficult to be accurately identified due to background …
cracks, especially small cracks, are difficult to be accurately identified due to background …
Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks
Convolutional neural networks (CNNs) have gained growing interest in recent years for their
advantages in detecting cracks on concrete bridge components. Class imbalance is a …
advantages in detecting cracks on concrete bridge components. Class imbalance is a …