A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

C Koch, K Georgieva, V Kasireddy, B Akinci… - Advanced engineering …, 2015 - Elsevier
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 …

Automated vision systems for condition assessment of sewer and water pipelines

R Rayhana, Y Jiao, A Zaji, Z Liu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Sewer networks and water distribution systems are among the most valuable and critical
urban assets for a community. These systems have their respective time span to provide …

A deep learning-based framework for an automated defect detection system for sewer pipes

X Yin, Y Chen, A Bouferguene, H Zaman… - Automation in …, 2020 - Elsevier
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 …

Underground sewer pipe condition assessment based on convolutional neural networks

SI Hassan, LM Dang, I Mehmood, S Im, C Choi… - Automation in …, 2019 - Elsevier
Surveys for assessing the condition of sewer pipeline systems are mainly based on video
surveillance or CCTV, which is a time-consuming process that relies heavily on human labor …

Automatic detection and classification of sewer defects via hierarchical deep learning

Q ** of pipeline internal defects
A Gunatilake, L Piyathilaka, A Tran… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Underground potable water pipes are essential infrastructure assets for any country. A
significant proportion of those assets are deteriorating due to pipe corrosion which results in …