Review of non-destructive civil infrastructure evaluation for bridges: State-of-the-art robotic platforms, sensors and algorithms

H Ahmed, HM La, N Gucunski - Sensors, 2020 - mdpi.com
The non-destructive evaluation (NDE) of civil infrastructure has been an active area of
research in recent decades. The traditional inspection of civil infrastructure mostly relies on …

Bibliometric analysis and review of deep learning-based crack detection literature published between 2010 and 2022

L Ali, F Alnajjar, W Khan, MA Serhani, H Al Jassmi - Buildings, 2022 - mdpi.com
The use of deep learning (DL) in civil inspection, especially in crack detection, has
increased over the past years to ensure long-term structural safety and integrity. To achieve …

Rebar detection and localization for bridge deck inspection and evaluation using deep residual networks

H Ahmed, HM La, K Tran - Automation in Construction, 2020 - Elsevier
Abstract Structural Health Monitoring (SHM) and Nondestructive Evaluation (NDE) of civil
infrastructure has been an active area of research for the past few decades. Due to rising …

[HTML][HTML] Deep learning-based feature silencing for accurate concrete crack detection

UH Billah, HM La, A Tavakkoli - Sensors, 2020 - mdpi.com
An autonomous concrete crack inspection system is necessary for preventing hazardous
incidents arising from deteriorated concrete surfaces. In this paper, we present a concrete …

Agile robotic inspection of steel structures: A bicycle‐like approach with multisensor integration

ST Nguyen, KT La, HM La - Journal of Field Robotics, 2024 - Wiley Online Library
This paper introduces an innovative and streamlined design of a robot, resembling a bicycle,
created to effectively inspect a wide range of ferromagnetic structures, even those with …

Concrete crack pixel classification using an encoder decoder based deep learning architecture

UH Billah, A Tavakkoli, HM La - … on Visual Computing, ISVC 2019, Lake …, 2019 - Springer
Civil infrastructure inspection in hazardous areas such as underwater beams, bridge decks,
etc., is a perilous task. In addition, other factors like labor intensity, time, etc. influence the …

Performance evaluation of different algorithms for crack detection in concrete structures

L Ali, S Harous, N Zaki, W Khan… - 2021 2nd …, 2021 - ieeexplore.ieee.org
Detection of cracks at the earliest stage is crucial, as these are the primary indicators of
infrastructure's health. Manual inspection is often carried out for infrastructure inspection …

An improved nondestructive semantic segmentation method for concrete dam surface crack images with high resolution

J Zhang, J Zhang - Mathematical Problems in Engineering, 2020 - Wiley Online Library
To nondestructive semantic segment the crack pixels in the image with high resolution,
previous methods often use sliding window and the crack patches to train the FCNs, and …

Bridging Convolutional Neural Networks and Transformers for Efficient Crack Detection in Concrete Building Structures

DP Yadav, B Sharma, S Chauhan, IB Dhaou - Sensors, 2024 - mdpi.com
Detecting cracks in building structures is an essential practice that ensures safety, promotes
longevity, and maintains the economic value of the built environment. In the past, machine …

Deep learning models for analysis of non‐destructive evaluation data to evaluate reinforced concrete bridge decks: A survey

DN Lavadiya, S Dorafshan - Engineering Reports, 2023 - Wiley Online Library
Application of deep learning (DL) for automatic condition assessment of bridge decks has
been on the raise in the last few years. From the published literature, it is evident that lot of …