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 …
Computer vision applications in intelligent transportation systems: a survey
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …
increasingly widespread in the intelligent transportation systems (ITS) context. These …
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN
Non-destructive testing and characterization of internal vertical cracks are critical for road
maintenance by ground penetrating radar (GPR). This paper describes a mask region …
maintenance by ground penetrating radar (GPR). This paper describes a mask region …
Attention-based generative adversarial network with internal damage segmentation using thermography
This paper describes a real-time, high-performance deep-learning network to segment
internal damages of concrete members at the pixel level using active thermography. Unlike …
internal damages of concrete members at the pixel level using active thermography. Unlike …
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 …
[HTML][HTML] Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning
Masonry structures represent the highest proportion of building stock worldwide. Currently,
the structural condition of such structures is predominantly manually inspected which is a …
the structural condition of such structures is predominantly manually inspected which is a …
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 …
Dual encoder–decoder-based deep polyp segmentation network for colonoscopy images
J Lewis, YJ Cha, J Kim - Scientific Reports, 2023 - nature.com
Detection of colorectal polyps through colonoscopy is an essential practice in prevention of
colorectal cancers. However, the method itself is labor intensive and is subject to human …
colorectal cancers. However, the method itself is labor intensive and is subject to human …
Enhanced Precision in Dam Crack Width Measurement: Leveraging Advanced Lightweight Network Identification for Pixel‐Level Accuracy
Z Wu, Y Tang, B Hong, B Liang… - International Journal of …, 2023 - Wiley Online Library
In dam engineering, the presence of cracks and crack width are important indicators for
diagnosing the health of dams. The accurate measurement of cracks facilitates the safe use …
diagnosing the health of dams. The accurate measurement of cracks facilitates the safe use …
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 …