Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

JCP Cheng, M Wang - Automation in Construction, 2018 - Elsevier
Sanitary sewer systems are designed to collect and transport sanitary wastewater and
stormwater. Pipe inspection is important in identifying both the type and location of pipe …

Deep learning-based automatic volumetric damage quantification using depth camera

GH Beckman, D Polyzois, YJ Cha - Automation in Construction, 2019 - Elsevier
A depth camera or 3-dimensional scanner was used as a sensor for traditional methods to
quantify the identified concrete spalling damage in terms of volume. However, to quantify the …

Applications of artificial intelligence enhanced drones in distress pavement, pothole detection, and healthcare monitoring with service delivery

Y Wang, T Ye - Journal of Engineering, 2022 - Wiley Online Library
Artificial Intelligence (AI) has fascinated the present study assigned to multiple areas such as
distress detection on the pavement, pothole detection, and healthcare. The distress …

Integrated processing of image and GPR data for automated pothole detection

S Li, C Yuan, D Liu, H Cai - Journal of computing in civil engineering, 2016 - ascelibrary.org
A pothole is a severe pavement distress that can compromise pavement rideability and
safety and can be the cause of expensive damage claims. The detection and evaluation of …

Crack identification method for concrete structures considering angle of view using RGB-D camera-based sensor fusion

H Kim, S Lee, E Ahn, M Shin… - Structural Health …, 2021 - journals.sagepub.com
Cracks on concrete structures are an important indicator for assessing concrete durability
and structural safety. Although such cracks are typically monitored by manual visual …

Computer-aided road inspection: Systems and algorithms

R Fan, S Guo, L Wang, M Junaid Bocus - Recent Advances in Computer …, 2023 - Springer
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition,
driving comfort, and traffic safety. The traditional manual visual road inspection process is …

Applications of depth sensing for advanced structural condition assessment in smart cities

TG Mondal, MR Jahanshahi - The rise of smart cities, 2022 - Elsevier
This chapter is a treatise on various depth sensors that can be leveraged for intelligent
sensing of infrastructure conditions in the future smart cities. Various state-of-the-art depth …

A Depth Camera‐Based Intelligent Method for Identifying and Quantifying Pavement Diseases

H Bai, X Hu, F Chen, Z Liao, K Li… - Advances in Civil …, 2022 - Wiley Online Library
In this study, a depth camera‐based intelligence method is proposed. First, road damage
images are collected and transformed into a training set. Then training, defect detection …

Improving Sidewalk Maintenance through Smartphone Citizen Reporting of Pothole Damage

C Sornsakul - 2024 - prism.ucalgary.ca
Pedestrian walkways potholes pose significant risks to pedestrian safety, causing accidents
and disruptions. This thesis explores using Structure-from-Motion (SfM) 3D reconstruction …

Deep learning-based volumetric damage quantification using an inexpensive depth camera

G Gomes - 2018 - mspace.lib.umanitoba.ca
The aging of infrastructure in North America has pushed the investigations of new structural
health monitoring (SHM) solutions. Visual inspections are commonly performed for SHM, but …