Pavement asset management systems and technologies: A review

NSP Peraka, KP Biligiri - Automation in Construction, 2020 - Elsevier
Pavement asset management system (PAMS) assists agencies and decision makers to
maintain deteriorating pavement assets with optimized budget allocation. The recent …

[HTML][HTML] Machine learning algorithms for monitoring pavement performance

S Cano-Ortiz, P Pascual-Muñoz… - Automation in …, 2022 - Elsevier
This work introduces the need to develop competitive, low-cost and applicable technologies
to real roads to detect the asphalt condition by means of Machine Learning (ML) algorithms …

Application of image technology on pavement distress detection: A review

Z Du, J Yuan, F Xiao, C Hettiarachchi - Measurement, 2021 - Elsevier
Digital image processing technology has been widely applied in various fields, and it is also
increasingly used in pavement distress detection in recent years. The objective of this review …

Real-time concrete damage detection using deep learning for high rise structures

P Kumar, S Batchu, SR Kota - IEEE Access, 2021 - ieeexplore.ieee.org
Nowadays, the number of aging high-rise civil structures is growing throughout the world,
and most of them use concrete as a building material. Concrete may lose its strength due to …

Pixelwise asphalt concrete pavement crack detection via deep learning‐based semantic segmentation method

J Huyan, T Ma, W Li, H Yang… - Structural Control and …, 2022 - Wiley Online Library
Explicit gaps exist between the advanced deep learning technologies and the less satisfied
pixel‐level crack detection algorithms. Therefore, this research sought to bridge this gap via …

[PDF][PDF] Identifying asphalt pavement distress using UAV LiDAR point cloud data and random forest classification

Z Li, C Cheng, MP Kwan, X Tong… - … International Journal of …, 2019 - pdfs.semanticscholar.org
Asphalt pavement ages and incurs various distresses due to natural and human factors.
Thus, it is crucial to rapidly and accurately extract different types of pavement distress to …

A Transformer-Optimized Deep Learning Network for Road Damage Detection and Tracking

N Wang, L Shang, X Song - Sensors, 2023 - mdpi.com
To solve the problems of low accuracy and false counts of existing models in road damage
object detection and tracking, in this paper, we propose Road-TransTrack, a tracking model …

Calibration of UAV flight parameters for pavement pothole detection using orthogonal arrays

E Atencio, F Plaza-Muñoz, F Muñoz-La Rivera… - Automation in …, 2022 - Elsevier
Visual inspection for road damages demands significant human effort. Automating these
inspections would reduce costs and errors. Using photogrammetry to generate 3D models of …

[HTML][HTML] Unmanned aerial vehicle implementation for pavement condition survey

Y Astor, Y Nabesima, R Utami, AVR Sihombing… - Transportation …, 2023 - Elsevier
Abstract The Utilization of Unmanned Aerial Vehicle (UAV) as a vehicle for comprehensive
and fast road condition data acquisition is expected to minimize or even replace …

Analysis of optimal flight parameters of unmanned aerial vehicles (UAVs) for detecting potholes in pavements

E Romero-Chambi, S Villarroel-Quezada, E Atencio… - Applied Sciences, 2020 - mdpi.com
Pavement maintenance seeks to provide optimal service conditions. Before maintenance, it
is necessary to know the condition of the pavement by inspection, a crucial step in deciding …