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Concrete Pavement Crack Detection Based on Dilated Convolution and Multi-features Fusion [PDF]

open access: yesJisuanji kexue, 2022
Crack detection for concrete pavement is an important fundamental task to ensure the safety of the road.Due to the complicated concrete pavement background and the diversity of cracks,a novel crack detection network of concrete pavement based on dilated ...
QU Zhong, CHEN Wen
doaj   +1 more source

Pavement crack characteristic detection based on sparse representation [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2012
Abstract Pavement crack detection plays an important role in pavement maintaining and management. The three-dimensional (3D) pavement crack detection technique based on laser is a recent trend due to its ability of discriminating dark areas, which are not caused by pavement distress such as tire marks, oil spills and shadows.
Xiaoming Sun 0005   +3 more
openaire   +1 more source

Pavement crack analysis by referring to historical crack data based on multi-scale localization.

open access: yesPLoS ONE, 2020
Pavement crack analysis, which deals with crack detection and crack growth detection, is a crucial task for modern Pavement Management Systems (PMS). This paper proposed a novel approach that uses historical crack data as reference for automatic pavement
Xianglong Wang   +3 more
doaj   +1 more source

Tiled fuzzy Hough transform for crack detection [PDF]

open access: yes, 2015
Surface cracks can be the bellwether of the failure of any component under loading as it indicates the component's fracture due to stresses and usage. For this reason, crack detection is indispensable for the condition monitoring and quality control
Al-Habaibeh, A   +5 more
core   +1 more source

Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features

open access: yesJournal of Advanced Transportation, 2020
Road pavement cracks automated detection is one of the key factors to evaluate the road distress quality, and it is a difficult issue for the construction of intelligent maintenance systems.
Weidong Song   +4 more
doaj   +1 more source

STrans-YOLOX: Fusing Swin Transformer and YOLOX for Automatic Pavement Crack Detection

open access: yesApplied Sciences, 2023
Automatic pavement crack detection is crucial for reducing road maintenance costs and ensuring transportation safety. Although convolutional neural networks (CNNs) have been widely used in automatic pavement crack detection, they cannot adequately model ...
Hui Luo   +3 more
doaj   +1 more source

Pavement Crack Detection Using Sketch Token

open access: yesProcedia Computer Science, 2018
Abstract Due to the serious threats to road safety caused by pavement distress, it has drawn much attention to seek efficient road crack detection methods for automatic pavement condition evaluation. In recent detectors, structure information of cracks has not been utilized effectively, which leads to the high sensitivity to crack-like noises.
Fan Meng, Aihua Li
openaire   +1 more source

Deep Learning Based Pavement Inspection Using Self-Reconfigurable Robot

open access: yesSensors, 2021
The pavement inspection task, which mainly includes crack and garbage detection, is essential and carried out frequently. The human-based or dedicated system approach for inspection can be easily carried out by integrating with the pavement sweeping ...
Balakrishnan Ramalingam   +7 more
doaj   +1 more source

Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada

open access: yesInternational Journal of Transportation Science and Technology, 2022
Pavement distresses, including cracking and disintegration, deteriorate road user’s comfort, damage vehicles, increase evasive maneuvers, and increase emissions.
Ce Zhang   +3 more
doaj   +1 more source

Pavement crack detection based on saliency and statistical features [PDF]

open access: yes2013 IEEE International Conference on Image Processing, 2013
Traditional pavement crack detection methods can not cope well with the complexity and diversity of noises in large image area. To solve this problem, we propose a novel unsupervised crack detection approach based on saliency and statistical features. The saliency is initially represented by a conspicuity map built from the intensity rarity and local ...
Wei Xu   +3 more
openaire   +1 more source

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