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Automated Flexible Pavement Condition Assessment System Using Video-Based Persistent Object Tracking: An Adaptation to Peruvian Regulations

https://doi.org/10.2139/ssrn.5370690
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inferredcites →https://doi.org/10.1007/s40890-021-00130-7openalex-snapshot
Evaluation of Pavement Condition Index Using Artificial Neural Network Approach
inferredcites →https://doi.org/10.1016/j.aej.2024.11.081openalex-snapshot
Artificial intelligence applications in pavement infrastructure damage detection with automated three-dimensional imaging – A systematic review
inferredcites →https://doi.org/10.1016/j.autcon.2022.104190openalex-snapshot
Machine learning techniques for pavement condition evaluation
inferredcites →https://doi.org/10.1016/j.autcon.2024.105332openalex-snapshot
CrackDiffusion: A two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes
inferredcites →https://doi.org/10.1016/j.conbuildmat.2020.118513openalex-snapshot
Deep machine learning approach to develop a new asphalt pavement condition index
inferredcites →https://doi.org/10.1016/j.conbuildmat.2023.134134openalex-snapshot
A weakly-supervised transformer-based hybrid network with multi-attention for pavement crack detection
inferredcites →https://doi.org/10.1016/j.engappai.2023.107624openalex-snapshot
A three-stage pavement image crack detection framework with positive sample augmentation
inferredcites →https://doi.org/10.1016/j.engfailanal.2022.106714openalex-snapshot
Flexible and stone pavements distress detection and measurement by deep learning and low-cost detection devices
inferredcites →https://doi.org/10.1016/j.engstruct.2024.117903openalex-snapshot
Automatic crack detection on concrete and asphalt surfaces using semantic segmentation network with hierarchical Transformer
inferredcites →https://doi.org/10.1016/j.jag.2023.103335openalex-snapshot
YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery
inferredcites →https://doi.org/10.1016/j.jreng.2024.04.003openalex-snapshot
Intelligent pavement condition survey: Overview of current researches and practices
inferredcites →https://doi.org/10.1016/j.treng.2024.100274openalex-snapshot
Implementation of a low-cost comprehensive pavement inspection system
inferredcites →https://doi.org/10.1038/s41598-024-62933-zopenalex-snapshot
YOLOv8-PD: an improved road damage detection algorithm based on YOLOv8n model
inferredcites →https://doi.org/10.1038/s41598-024-77173-4openalex-snapshot
Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning
inferredcites →https://doi.org/10.1038/s41598-024-81119-1openalex-snapshot
A novel convolutional neural network for enhancing the continuity of pavement crack detection
inferredcites →https://doi.org/10.1061/jpeodx.0000175openalex-snapshot
Role of Data Analytics in Infrastructure Asset Management: Overcoming Data Size and Quality Problems
inferredcites →https://doi.org/10.1080/10298436.2020.1714047openalex-snapshot
Pavement distress detection and classification based on YOLO network
inferredcites →https://doi.org/10.1080/14680629.2019.1614969openalex-snapshot
Faster region convolutional neural network for automated pavement distress detection
inferredcites →https://doi.org/10.1109/tits.2024.3360263openalex-snapshot
Robust Semantic Segmentation for Automatic Crack Detection Within Pavement Images Using Multi-Mixing of Global Context and Local Image Features
inferredcites →https://doi.org/10.1109/tits.2024.3420763openalex-snapshot
Detection of Pavement Cracks by Deep Learning Models of Transformer and UNet
inferredcites →https://doi.org/10.1155/2021/5573590openalex-snapshot
Pavement Crack Detection Method Based on Deep Learning Models
inferredcites →https://doi.org/10.1186/s40537-025-01065-1openalex-snapshot
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model
inferredcites →https://doi.org/10.1186/s43065-024-00103-1openalex-snapshot
Crack SAM: enhancing crack detection utilizing foundation models and Detectron2 architecture
inferredcites →https://doi.org/10.3233/scs-230001openalex-snapshot
A review on computer vision and machine learning techniques for automated road surface defect and distress detection
inferredcites →https://doi.org/10.3389/fbuil.2023.1323792openalex-snapshot
Pothole detection for autonomous vehicles using deep learning: a robust and efficient solution
inferredcites →https://doi.org/10.3390/app14051778openalex-snapshot
A Pavement Crack Detection Method via Deep Learning and a Binocular-Vision-Based Unmanned Aerial Vehicle
inferredcites →https://doi.org/10.3390/buildings14010230openalex-snapshot
Driving Peru’s Road Infrastructure: An Analysis of Public–Private Partnerships, Challenges, and Critical Success Factors
inferredcites →https://doi.org/10.3390/constrmater4040036openalex-snapshot
Crack Detection, Classification, and Segmentation on Road Pavement Material Using Multi-Scale Feature Aggregation and Transformer-Based Attention Mechanisms
inferredcites →https://doi.org/10.3390/infrastructures9120213openalex-snapshot
Machine Learning Applications in Road Pavement Management: A Review, Challenges and Future Directions
inferredcites →https://doi.org/10.3390/jimaging10050100openalex-snapshot
DepthCrackNet: A Deep Learning Model for Automatic Pavement Crack Detection
inferredcites →https://doi.org/10.3390/s22093537openalex-snapshot
Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection
inferredcites →https://doi.org/10.3390/s23125656openalex-snapshot
Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review
inferredcites →https://doi.org/10.3390/s24051647openalex-snapshot
Visual Detection of Road Cracks for Autonomous Vehicles Based on Deep Learning
inferredcites →https://doi.org/10.3390/s24072333openalex-snapshot
Automated Pavement Condition Index Assessment with Deep Learning and Image Analysis: An End-to-End Approach
inferredcites →https://doi.org/10.3390/su17010109openalex-snapshot
Comparative Analysis of Asphalt Pavement Condition Prediction Models
inferredcites →https://doi.org/10.3934/era.2024078openalex-snapshot
Research and optimization of YOLO-based method for automatic pavement defect detection
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