Pavement crack detection and localization using convolutional neural networks (CNNs)
L Ali, NK Valappil, DNA Kareem… - … on digitization (ICD), 2019 - ieeexplore.ieee.org
Regular inspection and maintenance of roads are required to ensure safe transportation.
While examining the state of structural health, cracks are considered as the primary …
While examining the state of structural health, cracks are considered as the primary …
Pixel‐level thin crack detection on road surface using convolutional neural network for severely imbalanced data
T Siriborvornratanakul - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Because roads are the major backbone of the transportation network, research about crack
detection on road surfaces has been popular in computer and infrastructure engineering …
detection on road surfaces has been popular in computer and infrastructure engineering …
Adaptive canny and semantic segmentation networks based on feature fusion for road crack detection
J Luo, H Lin, X Wei, Y Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Road cracks, which are a common hazard in pavements throughout the life cycle of a road,
can degrade the performance of the road, shorten its service life, and endanger the safety of …
can degrade the performance of the road, shorten its service life, and endanger the safety of …
Learning traffic as images for incident detection using convolutional neural networks
The timely and accurate detection of traffic incidents is beneficial to reduce associated
economic losses and avoid secondary crashes. Inspired by the impressive success of the …
economic losses and avoid secondary crashes. Inspired by the impressive success of the …
[HTML][HTML] Roadnet: Efficient model to detect and classify road damages
Poorly maintained roads can cause lethal automobile accidents in various ways. Thus,
detecting and reporting damaged parts of roads is one of the most crucial road maintenance …
detecting and reporting damaged parts of roads is one of the most crucial road maintenance …
Crack detection of structures using deep learning framework
The transportation system has drawn attention due to the growing threats of cracks to the
roads and bridges. To accurately detect cracks was made possible by the introduction of …
roads and bridges. To accurately detect cracks was made possible by the introduction of …
An improved deep learning convolutional neural network for crack detection based on UAV images
O Omoebamije, TM Omoniyi, A Musa… - Innovative Infrastructure …, 2023 - Springer
The image-based crack detection process using the convolutional neural network (CNN)
has evolved as an active research area mainly because of its potential to be highly effective …
has evolved as an active research area mainly because of its potential to be highly effective …
Bridge crack detection algorithm based on image processing under complex background
L Li, R Sun - Laser & Optoelectronics Progress, 2019 - clp.ac.cn
In order to solve the problem that the traditional bridge crack detection algorithm cannot
extract cracks accurately, a bridge crack detection algorithm is proposed based on image …
extract cracks accurately, a bridge crack detection algorithm is proposed based on image …
Deep convolution neural network-based transfer learning method for civil infrastructure crack detection
Q Yang, W Shi, J Chen, W Lin - Automation in Construction, 2020 - Elsevier
Crack detection is critical to guaranteeing safety of bridges, highway and other
infrastructures. The deep convolution neural network (DCNN) makes it possible to efficiently …
infrastructures. The deep convolution neural network (DCNN) makes it possible to efficiently …
Pavement crack detection using convolutional neural network
Pavement crack detection is an important problem in road maintenance. There are many
processing methods, including traditional and modern methods, solving this issue …
processing methods, including traditional and modern methods, solving this issue …