Surface damage detection for concrete bridges using single-stage convolutional neural networks

2019 ◽  
Author(s):  
Chaobo Zhang ◽  
Chih-Chen Chang
Keyword(s):  
Neural Networks ◽  
Damage Detection ◽  
Convolutional Neural Networks ◽  
Surface Damage ◽  
Concrete Bridges ◽  
Single Stage

scholarly journals Road Surface Damage Detection Using Fully Convolutional Neural Networks and Semi-Supervised Learning

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5501 ◽  
Author(s):  
Chanjun Chun ◽  
Seung-Ki Ryu
Keyword(s):  
Neural Networks ◽  
Damage Detection ◽  
Supervised Learning ◽  
Convolutional Neural Networks ◽  
Surface Damage ◽  
Road Surface ◽  
Training Dataset ◽  
The Road ◽  
Fully Convolutional Neural Networks ◽  
On The Road

The various defects that occur on asphalt pavement are a direct cause car accidents, and countermeasures are required because they cause significantly dangerous situations. In this paper, we propose fully convolutional neural networks (CNN)-based road surface damage detection with semi-supervised learning. First, the training DB is collected through the camera installed in the vehicle while driving on the road. Moreover, the CNN model is trained in the form of a semantic segmentation using the deep convolutional autoencoder. Here, we augmented the training dataset depending on brightness, and finally generated a total of 40,536 training images. Furthermore, the CNN model is updated by using the pseudo-labeled images from the semi-supervised learning methods for improving the performance of road surface damage detection technique. To demonstrate the effectiveness of the proposed method, 450 evaluation datasets were created to verify the performance of the proposed road surface damage detection, and four experts evaluated each image. As a result, it is confirmed that the proposed method can properly segment the road surface damages.

Concrete bridge surface damage detection using a single‐stage detector

2019 ◽  
Vol 35 (4) ◽  
pp. 389-409 ◽  
Author(s):  
Chaobo Zhang ◽  
Chih‐chen Chang ◽  
Maziar Jamshidi
Keyword(s):  
Damage Detection ◽  
Surface Damage ◽  
Single Stage ◽  
Concrete Bridge

One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery

2021 ◽  
pp. 73-83
Author(s):  
Onur Avci ◽  
Osama Abdeljaber ◽  
Serkan Kiranyaz ◽  
Sadok Sassi ◽  
Abdelrahman Ibrahim ◽  
...  
Keyword(s):  
Neural Networks ◽  
Damage Detection ◽  
Real Time ◽  
Convolutional Neural Networks ◽  
Rotating Machinery ◽  
One Dimensional
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