Surface defect detection of civil structures using images: Review from data perspective

J Guo, P Liu, B Xiao, L Deng, Q Wang - Automation in Construction, 2024 - Elsevier
As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …

Incorporating sparse model machine learning in designing cultural heritage landscapes

P Goodarzi, M Ansari, FP Rahimian… - Automation in …, 2023 - Elsevier
Managing, protecting, and the evolutionary development of historical landscapes require
robust frameworks and processes for forming datasets and advanced decision support tools …

Long-standing themes and future prospects for the inspection and maintenance of façade falling objects from tall buildings

MYL Chew, VJL Gan - Sensors, 2022 - mdpi.com
The increasing number of accidents arising from falling objects from the façade of tall
buildings has attracted much attention globally. To regulators, a preventive approach based …

Bayesian-optimized deep learning model to segment deterioration patterns underneath bridge decks photographed by unmanned aerial vehicle

CY Liu, JS Chou - Automation in Construction, 2023 - Elsevier
In recent years, bridge collapses and fractures have occurred in various countries mostly
following a lack of inspection and maintenance. External inspection processes can be very …

Informativeness‐guided active learning for deep learning–based façade defects detection

J Guo, Q Wang, S Su, Y Li - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Annotation work is burdensome and challenging for developing a façade defects detector,
especially when the raw data set is large but not all useful. To alleviate the problem, this …

Attention‐guided multiscale neural network for defect detection in sewer pipelines

Y Li, H Wang, LM Dang, HK Song… - Computer‐Aided Civil …, 2023 - Wiley Online Library
Sanitary sewer systems are major infrastructures in every modern city, which are essential in
protecting water pollution and preventing urban waterlogging. Since the conditions of sewer …

Deep semantic segmentation for visual scene understanding of soil types

V Zamani, H Taghaddos, Y Gholipour… - Automation in …, 2022 - Elsevier
One of the state-of-the-art computer vision applications is scene understanding and visual
contextual awareness. Despite the numerous detection and classification-based studies, the …

Optimized instance segmentation by super-resolution and maximal clique generation

I García-Aguilar, J García-González… - Integrated …, 2023 - content.iospress.com
The rise of surveillance systems has led to exponential growth in collected data, enabling
several advances in Deep Learning to exploit them and automate tasks for autonomous …

Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images

H Chu, L Long, J Guo, H Yuan… - Computer‐Aided Civil …, 2024 - Wiley Online Library
High‐resolution (HR) crack images offer more detailed information for evaluating the
structural condition and formulating effective maintenance or rehabilitation plans. However …

An automatic building façade deterioration detection system using infrared-visible image fusion and deep learning

P Wang, J Xiao, X Qiang, R Xiao, Y Liu, C Sun… - Journal of Building …, 2024 - Elsevier
Diverse building façade deteriorations occurring both externally and internally within the
materials have emerged as substantial challenges to the structural durability and the …