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Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V

IEEE transactions on intelligent transportation systems (Print), 2020
A few recent developments have demonstrated that deep-learning-based solutions can outperform traditional algorithms for automated pavement crack detection.
Yue Fei   +7 more
semanticscholar   +1 more source

Monitoring Asphalt Pavement Aging and Damage Conditions from Low-Altitude UAV Imagery Based on a CNN Approach

Canadian journal of remote sensing, 2021
Conventional methods for monitoring pavement healthy states have the disadvantages of low efficiency and being time-consuming and destructive. Current studies indicate that traditional machine learning algorithms showed poor performance and low ...
Yifan Pan   +3 more
semanticscholar   +1 more source

Asphalt Pavements with High Reclaimed Asphalt Pavement Content

Transportation Research Record: Journal of the Transportation Research Board, 2014
Today's sustainability-driven systems require a product or process to be environmentally beneficial as well as cost-effective. This study used life-cycle cost analysis (LCCA) and life-cycle assessment (LCA) to consider the economic and environmental feasibility of using a high content of reclaimed asphalt pavement (RAP) in asphalt mixtures.
Qazi Aurangzeb, Imad L. Al-Qadi
openaire   +1 more source

Research on heat reflective coating technology of asphalt pavement

International Journal of Pavement Engineering, 2021
A new asphalt pavement heat reflective coating was prepared with epoxy resin emulsion as the coating subs-trate, titanium dioxide, silicon dioxide, diatomite and hollow glass bead as the functional fillers, added fumed silica and other materials as the ...
Yuanzhao Chen   +4 more
semanticscholar   +1 more source

An image-based system for asphalt pavement bleeding inspection

International Journal of Pavement Engineering, 2021
The pavement distress information is essential for evaluating the pavement. Automatic pavement inspection systems can be so beneficial in providing needed information on pavement conditions.
S. Ranjbar, F. Nejad, H. Zakeri
semanticscholar   +1 more source

Using PSO-SVR Algorithm to Predict Asphalt Pavement Performance

Journal of performance of constructed facilities, 2021
Because of the relatively low accuracy of the current asphalt pavement performance prediction, a new pavement performance prediction model was established based on the particle swarm optimi...
Zhe Li   +5 more
semanticscholar   +1 more source

Effects of using different dynamic moduli on predicted asphalt pavement responses in mechanistic pavement design

International Journal on Road Materials and Pavement Design, 2021
In this study, dynamic moduli of asphalt mixtures under uniaxial compression (UC), indirect tension (IDT) and four-point bending (4PB) loading modes were tested and incorporated in the MEPDG procedure to predict the pavement responses.
Huailei Cheng   +3 more
semanticscholar   +1 more source

Multiple distresses detection for Asphalt Pavement using improved you Only Look Once Algorithm based on convolutional neural network

International Journal of Pavement Engineering
Leveraging the YOLOv7 object detection framework, this study introduces YOLOv7-CSP, a refined algorithm tailored for identifying asphalt pavement distress with enhanced precision.
Han-Cheng Dan   +4 more
semanticscholar   +1 more source

Composition optimisation and performance evaluation of waterborne epoxy resin emulsified asphalt tack coat binder for pavement

International Journal of Pavement Engineering, 2021
To ensure the effective bonding of each structural layer of pavement and improve the service quality and durability of pavement, the waterborne epoxy resin (WER) emulsified asphalt (WEREA) tack coat binders were prepared by using polyurethane-epoxy resin.
Hao Fu   +4 more
semanticscholar   +1 more source

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