Computer vision framework for crack detection of civil infrastructure—A review
Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …
physical and functional conditions after years of operation. Timely and accurate inspection …
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
To ensure the safety and the serviceability of civil infrastructure it is essential to visually
inspect and assess its physical and functional condition. This review paper presents the …
inspect and assess its physical and functional condition. This review paper presents the …
A deep learning-based framework for an automated defect detection system for sewer pipes
The municipal drainage system is a key component of every modern city's infrastructure.
However, as the drainage system ages its pipes gradually deteriorate at rates that vary …
However, as the drainage system ages its pipes gradually deteriorate at rates that vary …
Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks
SS Kumar, DM Abraham, MR Jahanshahi… - Automation in …, 2018 - Elsevier
Automated interpretation of sewer CCTV inspection videos could improve the speed,
accuracy, and consistency of sewer defect reporting. Previous research has attempted to …
accuracy, and consistency of sewer defect reporting. Previous research has attempted to …
Image based techniques for crack detection, classification and quantification in asphalt pavement: a review
Pavement condition information is a significant component in Pavement Management
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Image-based retrieval of concrete crack properties for bridge inspection
RS Adhikari, O Moselhi, A Bagchi - Automation in construction, 2014 - Elsevier
Cracking can invite sudden failures of concrete structures. The objective of this research is to
develop an integrated model based on digital image processing in developing the numerical …
develop an integrated model based on digital image processing in developing the numerical …
Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification
D Li, A Cong, S Guo - Automation in Construction, 2019 - Elsevier
Accurate infrastructure condition assessment is critical for optimized maintenance and
rehabilitation plan. Closed Circuit Television (CCTV) inspection has been widely applied in …
rehabilitation plan. Closed Circuit Television (CCTV) inspection has been widely applied in …
Sewer defect detection from 3D point clouds using a transformer-based deep learning model
Targeting the defect classification from 3D point clouds, this research develops a deep
learning method named the Transformer-based point cloud classification network …
learning method named the Transformer-based point cloud classification network …
Automatic defogging, deblurring, and real-time segmentation system for sewer pipeline defects
D Ma, H Fang, N Wang, H Zheng, J Dong… - Automation in …, 2022 - Elsevier
Conventional deep-learning-based inspection methods for sewer pipeline defects neglect
the complex inner environment of pipelines (eg, fog and motion blur) and real-time …
the complex inner environment of pipelines (eg, fog and motion blur) and real-time …
Automatic detection and classification of sewer defects via hierarchical deep learning
Video and image sources are frequently applied in the area of defect inspection in industrial
community. For the recognition and classification of sewer defects, a significant number of …
community. For the recognition and classification of sewer defects, a significant number of …