Pavement roughness index estimation and anomaly detection using smartphones

Q Yu, Y Fang, R Wix - Automation in construction, 2022 - Elsevier
The prevalence of smartphones among vehicle drivers presents exciting opportunities in
assessing pavement roughness in a more efficient and cost-effective manner, compared …

[PDF][PDF] A review of the automated timber defect identification approach

HC Teo, UR Hashim, S Ahmad… - International Journal of …, 2023 - academia.edu
Timber quality control is undoubtedly a very laborious process in the secondary wood
industry. Manual inspections by operators are prone to human error, thereby resulting in …

Detection and classification of pavement damages using wavelet scattering transform, fractal dimension by box-counting method and machine learning algorithms

L Tello-Cifuentes, J Marulanda… - Road Materials and …, 2024 - Taylor & Francis
Pavement condition assessment is essential for roadway maintenance and rehabilitation
processes. Image-based inspection methods provide information regarding the surface of …

Advancement in the automation of paved roadways performance patrolling: A review

MS Islam, AM Ibrahim, KE Hoque, KA Bakhuraisa, U Ali… - Measurement, 2024 - Elsevier
This review critically analyzes available tools and techniques for road damage assessment
and monitoring and identifies further research areas. After the review, several are found for …

Fast crack detection using convolutional neural network

J Yang, F Lin, Y Xiang, P Katranuschkov… - arXiv preprint arXiv …, 2021 - arxiv.org
To improve the efficiency and reduce the labour cost of the renovation process, this study
presents a lightweight Convolutional Neural Network (CNN)-based architecture to extract …

[PDF][PDF] Effect of Feature Engineering Technique for Determining Vegetation Density

Y Sari, YF Arifin, N Novitasari… - International Journal of …, 2022 - researchgate.net
Vegetation density is one type of information collected from vegetation cover. Vegetation
density influences evapotranspiration in terrain, which is essential in assessing how …

[PDF][PDF] Road safety: road degradation survey through images by UAV

V Barrile, E Bernardo, A Fotia, G Candela… - … on Environment and …, 2020 - academia.edu
Preventive safety analyses can help to indicate the presence of situations on a road track
potentially at risk for circulation. The key objective of safety analysis is to provide a greater …

[PDF][PDF] Techniques of geomatics and soft computing for the monitoring of infrastructures and the management of big data

E Bernardo, S Bonfa, S Calcagno - WSEAS Trans. Environ. Dev, 2021 - academia.edu
The proposed research activity is based on the study and development of advanced survey
and monitoring techniques for the control and mapping of road infrastructures. Specifically …

[PDF][PDF] Cassini-Huygens mission images classification framework by deep learning advanced approach

A AlDabbas, Z Gal - International Journal of Electrical and …, 2021 - pdfs.semanticscholar.org
Developing a deep learning (DL) model for image classification commonly demands a
crucial architecture organization. Planetary expeditions produce a massive quantity of data …

[PDF][PDF] Integrated NIR-HE based SPOT-5 image enhancement method for features preservation and edge detection

FA Zulkifle, R Hassan, MN Ahmad, S Kasim… - Indonesian Journal of …, 2021 - academia.edu
Recently, many researchers have directed their attention to methods of predicting shorelines
by the use of multispectral images. Thus, a simple and optimised method using image …