[HTML][HTML] A review on deep learning in UAV remote sensing
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …
capability, and brought important breakthroughs for processing images, time-series, natural …
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Crack detection and quantification for concrete structures using UAV and transformer
Crack detection is of significant importance for concrete structural inspection. Unmanned
aerial vehicle (UAV)-based crack detection systems abound, but simply quantifying cracks …
aerial vehicle (UAV)-based crack detection systems abound, but simply quantifying cracks …
Automatic pixel‐level crack detection and evaluation of concrete structures using deep learning
W Zhao, Y Liu, J Zhang, Y Shao… - Structural Control and …, 2022 - Wiley Online Library
To achieve effective inspection of reinforced concrete structures, a smart solution to obtain
quantitative crack information automatically from inspection is essential. Therefore, a novel …
quantitative crack information automatically from inspection is essential. Therefore, a novel …
Surface defect detection of civil structures using images: Review from data perspective
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 …
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …
Towards fully automated unmanned aerial vehicle-enabled bridge inspection: Where are we at?
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) have been increasingly used for
bridge inspection. Although UAVs are expected to automate the whole bridge inspection …
bridge inspection. Although UAVs are expected to automate the whole bridge inspection …
Deep learning augmented infrared thermography for unmanned aerial vehicles structural health monitoring of roadways
Sinkholes form when culverts beneath roadways fail, posing a safety hazard that requires
costly repairs and causes traffic delays. Detecting the onset of sub-pavement voids can …
costly repairs and causes traffic delays. Detecting the onset of sub-pavement voids can …
Vision‐based displacement measurement using an unmanned aerial vehicle
Vision‐based displacement measurement for structural health monitoring has gained
popularity in recent years but still has several limitations in practical applications. Unmanned …
popularity in recent years but still has several limitations in practical applications. Unmanned …
An automatic concrete crack-detection method fusing point clouds and images based on improved otsu's algorithm
X Chen, J Li, S Huang, H Cui, P Liu, Q Sun - Sensors, 2021 - mdpi.com
Cracks are one of the main distresses that occur on concrete surfaces. Traditional methods
for detecting cracks based on two-dimensional (2D) images can be hampered by stains …
for detecting cracks based on two-dimensional (2D) images can be hampered by stains …
Bibliometric analysis and review of deep learning-based crack detection literature published between 2010 and 2022
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 …
increased over the past years to ensure long-term structural safety and integrity. To achieve …