Machine learning techniques for pavement condition evaluation

N Sholevar, A Golroo, SR Esfahani - Automation in Construction, 2022 - Elsevier
Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …

Recent computer vision applications for pavement distress and condition assessment

H Ayman, MW Fakhr - Automation in Construction, 2023 - Elsevier
Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …

Cross‐scene pavement distress detection by a novel transfer learning framework

Y Li, P Che, C Liu, D Wu, Y Du - Computer‐Aided Civil and …, 2021 - Wiley Online Library
Deep learning has achieved promising results in pavement distress detection. However, the
training model's effectiveness varies according to the data and scenarios acquired by …

Improvement of lightweight convolutional neural network model based on YOLO algorithm and its research in pavement defect detection

FJ Du, SJ Jiao - Sensors, 2022 - mdpi.com
To ensure the safe operation of highway traffic lines, given the imperfect feature extraction of
existing road pit defect detection models and the practicability of detection equipment, this …

GCN-based pavement crack detection using mobile LiDAR point clouds

H Feng, W Li, Z Luo, Y Chen… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Mobile Laser Scanning (MLS) system can provide high-density and accurate 3D point
clouds that enable rapid pavement crack detection for road maintenance tasks. Supervised …

Improved pixel-level pavement-defect segmentation using a deep autoencoder

R Augustauskas, A Lipnickas - Sensors, 2020 - mdpi.com
Convolutional neural networks perform impressively in complicated computer-vision image-
segmentation tasks. Vision-based systems surpass humans in speed and accuracy in …

Automatic detection of stone pavement's pattern based on UAV photogrammetry

E Garilli, N Bruno, F Autelitano, R Roncella… - Automation in …, 2021 - Elsevier
Pavement management system (PMS) is a set of tools that assist road agencies in finding
optimal strategies for maintaining pavements in a serviceable condition over a period of …

Review of intelligent road defects detection technology

Y Zhou, X Guo, F Hou, J Wu - Sustainability, 2022 - mdpi.com
Road defects are important factors affecting traffic safety. In order to improve the
identification efficiency of road diseases and the pertinence of maintenance and …

[HTML][HTML] SD-GCN: Saliency-based dilated graph convolution network for pavement crack extraction from 3D point clouds

L Ma, J Li - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Accurate pavement crack extraction is significant for pavement routine maintenance and
potential traffic disaster minimization. Due to unordered data formats, intensity distinctions …

What's cracking? A review and analysis of deep learning methods for structural crack segmentation, detection and quantification

J König, M Jenkins, M Mannion, P Barrie… - arXiv preprint arXiv …, 2022 - arxiv.org
Surface cracks are a very common indicator of potential structural faults. Their early
detection and monitoring is an important factor in structural health monitoring. Left untreated …