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 …
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 …
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 …
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 …
Convolutional neural networks perform impressively in complicated computer-vision image- segmentation tasks. Vision-based systems surpass humans in speed and accuracy in …
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 …
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 …
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 …
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 …