Intelligent Detection and Automatic Repair of Cement Pole Defects Based on Deep Reinforcement Learning

W Hong, Y Huang, J Li, W Guo - 2024 International Conference …, 2024 - ieeexplore.ieee.org
Cement poles are an important part of building construction, and their quality problems
directly affect the success of the entire project. In order to solve this problem, this paper …

Finding Concrete Cracks in a Building using Improved Deep Learning Algorithms

V Devisurya, J Paulson, M Seshadhri… - 2023 Second …, 2023 - ieeexplore.ieee.org
To ensure functionality and durability, engineering constructions must have fractures
identified and repaired. Since cracks are typically discovered through visual inspection, the …

Crack detection based on mask RCNN and trajectory similarity measurement

J Lv, X Xu, C Wu, W Niu - Fifteenth International Conference …, 2024 - spiedigitallibrary.org
Concrete crack detection can reflect the condition of concrete structure in time, facilitate the
staff to arrange maintenance, and is crucial to ensure the normal operation of facilities …

Gradient and self-attention enabled convolutional neural network for crack detection in smart cities

R Xie, M Chen, M Tao, K Ding… - 2023 IEEE 29th …, 2023 - ieeexplore.ieee.org
Intelligent transportation is an important guarantee for the safety and efficiency of urban
transportation in smart cities, and regular road pavement inspection is the focus of road and …

Deep learning-based fast detection of apparent concrete crack in slab tracks with dilated convolution

W Ye, S Deng, J Ren, X Xu, K Zhang, W Du - Construction and Building …, 2022 - Elsevier
Slab tracks exposed to complicated environmental factors over a long period can cause
cracks in the concrete, and if these cracks gradually expand, the concrete's durability and …

Fracture location based on transfer learning

L Yuansheng, W Yi, Z Yu, W Jimin… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
At present, the automation of crack location in concrete wall is low, and most of them rely on
manual crack location. Such manual location efficiency is low, and the error rate will be …

Dam crack detection based on deep learning cascade detection algorithm

Q Wang, B Li, Z Deng, W Zhao - 2023 3rd International …, 2023 - ieeexplore.ieee.org
In order to improve the crack detection accuracy of concrete dam surface, a cascade crack
detection algorithm based on deep learning and prior information reinforcement is …

Automatic crack detection and calculation based on deep learning and digital image processing

S Kong, Y Liu, J Fan - Third International Conference on …, 2023 - spiedigitallibrary.org
Structural health monitoring is an important way to ensure the safe and reliable work of the
structures during the service period. Surface crack is one of the important indicators for …

Application and Optimization of Computer Vision and Deep Learning in Road and Bridge Structure Monitoring

W Zhan - 2024 Third International Conference on Distributed …, 2024 - ieeexplore.ieee.org
Traditional methods often rely on manual inspection and evaluation, which is time-
consuming and laborious, not only inefficient, but also prone to subjective errors. Computer …

Research on Crack Identification of Cement-Based Materials in Road and Bridge Construction Based on Image Processing Technology

X Yang - 2023 7th International Symposium on Computer …, 2023 - ieeexplore.ieee.org
At present, there are a large number of road and bridge buildings in operation in China, but
existing cement-based materials for road and bridge buildings often have many cracks, and …