Advances in computer vision-based civil infrastructure inspection and monitoring

BF Spencer Jr, V Hoskere, Y Narazaki - Engineering, 2019 - Elsevier
Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …

Image based techniques for crack detection, classification and quantification in asphalt pavement: a review

H Zakeri, FM Nejad, A Fahimifar - Archives of Computational Methods in …, 2017 - Springer
Pavement condition information is a significant component in Pavement Management
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …

Deep machine learning approach to develop a new asphalt pavement condition index

H Majidifard, Y Adu-Gyamfi, WG Buttlar - Construction and building …, 2020 - Elsevier
Pavement condition assessment provides information to make more cost-effective and
consistent decisions regarding management of pavement network. Generally, pavement …

Automated crack severity level detection and classification for ballastless track slab using deep convolutional neural network

W Wang, W Hu, W Wang, X Xu, M Wang, Y Shi… - Automation in …, 2021 - Elsevier
The classification and treatment of cracks with different severity levels based on the width
measurement is a critical consideration in maintenance of ballastless track slab. Existing …

Scene understanding in construction and buildings using image processing methods: A comprehensive review and a case study

M Arashpour, T Ngo, H Li - Journal of Building Engineering, 2021 - Elsevier
Acquiring photos and videos has become a new norm in construction and building projects.
However, imagery data is not utilized effectively due to the shortage of required skillsets in …

A triple-thresholds pavement crack detection method leveraging random structured forest

C Peng, M Yang, Q Zheng, J Zhang, D Wang… - … and Building Materials, 2020 - Elsevier
Automatic pavement crack detection has attracted increasing attention in the field of national
infrastructure maintenance and rehabilitation. However, due to inhomogeneous crack pixel …

Automated detection of multiple pavement defects

SC Radopoulou, I Brilakis - Journal of Computing in Civil …, 2017 - ascelibrary.org
Knowing the pavement condition is essential for efficiently deciding on maintenance
programs. Current practice is predominantly manual with only 0.4% of inspections …

Fast and accurate road crack detection based on adaptive cost-sensitive loss function

K Li, B Wang, Y Tian, Z Qi - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
Numerous detection problems in computer vision, including road crack detection, suffer from
exceedingly foreground–background imbalance. Fortunately, modification of loss function …

Attribute-based structural damage identification by few-shot meta learning with inter-class knowledge transfer

Y Xu, Y Bao, Y Zhang, H Li - Structural Health Monitoring, 2021 - journals.sagepub.com
Image archives of multi-class structural damages can be collected by manual inspection and
then used for structural damage identification. On one hand, conventional image-processing …

Enhanced automatic detection of road surface cracks by combining 2D/3D image processing techniques

R Medina, J Llamas, E Zalama… - … on Image Processing …, 2014 - ieeexplore.ieee.org
In this paper, a comprehensive automatic visual inspection system for detecting pavement
cracks, built around a Laser Road Inspection System (LRIS) onboard an instrumented …