Towards UAV-based bridge inspection systems: A review and an application perspective

B Chan, H Guan, J Jo, M Blumenstein - Structural Monitoring and …, 2015 - dbpia.co.kr
Visual condition inspections remain paramount to assessing the current deterioration status
of a bridge and assigning remediation or maintenance tasks so as to ensure the ongoing …

Feature pyramid and hierarchical boosting network for pavement crack detection

F Yang, L Zhang, S Yu, D Prokhorov… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Pavement crack detection is a critical task for insuring road safety. Manual crack detection is
extremely time-consuming. Therefore, an automatic road crack detection method is required …

Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN

Y Xu, D Li, Q Xie, Q Wu, J Wang - Measurement, 2021 - Elsevier
The detection of tunnel surface defects is the very important part to ensure tunnel safety.
Traditional tunnel detection mainly relies on naked-eye inspection, which is time-consuming …

Use of gaming technology to bring bridge inspection to the office

M Omer, L Margetts, M Hadi Mosleh… - Structure and …, 2019 - Taylor & Francis
This paper proposes a novel method for bridge inspection that essentially digitises bridges
using Light Detection and Ranging (LIDAR) so that they can be later inspected in a virtual …

Multiscale and adversarial learning-based semi-supervised semantic segmentation approach for crack detection in concrete structures

S Shim, J Kim, GC Cho, SW Lee - IEEE Access, 2020 - ieeexplore.ieee.org
Typically, the operational lifetime of underground concrete structures is several decades. At
present, many such structures are approaching their original life expectancy. In this stage …

BARNet: Boundary aware refinement network for crack detection

JM Guo, H Markoni, JD Lee - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Road crack is one of the prominent problems that can frequently occur in highways and
main roads. The manual road crack evaluation is laborious, time-consuming, inaccurate …

Automatic pixel-level pavement crack recognition using a deep feature aggregation segmentation network with a scSE attention mechanism module

W Qiao, Q Liu, X Wu, B Ma, G Li - Sensors, 2021 - mdpi.com
Pavement crack detection is essential for safe driving. The traditional manual crack detection
method is highly subjective and time-consuming. Hence, an automatic pavement crack …

Synthesis of unmanned aerial vehicle applications for infrastructures

L Duque, J Seo, J Wacker - Journal of Performance of Constructed …, 2018 - ascelibrary.org
This paper is intended to provide the state-of-the-art and of-the-practice on visual inspection,
monitoring, and analysis of infrastructure using unmanned aerial vehicles (UAVs). Several …

Semi-supervised semantic segmentation using adversarial learning for pavement crack detection

G Li, J Wan, S He, Q Liu, B Ma - IEEE Access, 2020 - ieeexplore.ieee.org
Regular inspection of pavement conditions is important to guarantee the safety of
transportation. However, current approaches are time-consuming and subjective, which …

Multi-scale attention networks for pavement defect detection

J Chen, Y Wen, YA Nanehkaran… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pavement defects such as cracks, net cracks, and pit slots can cause potential traffic safety
problems. The timely detection and identification play a key role in reducing the harm of …