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Spatiotemporal matching method for tracking pavement distress using high‐frequency detection data

https://doi.org/10.1111/mice.12947
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-39964-3_62openalex-snapshot
KNN Model-Based Approach in Classification
inferredcites →https://doi.org/10.1007/978-981-10-7305-2_57openalex-snapshot
Hierarchical Convolutional Features for Long-Term Correlation Tracking
inferredcites →https://doi.org/10.1007/s00371-012-0677-0openalex-snapshot
Improved mean shift integrating texture and color features for robust real time object tracking
inferredcites →https://doi.org/10.1007/s00521-019-04146-4openalex-snapshot
FEMa: a finite element machine for fast learning
inferredcites →https://doi.org/10.1007/s00521-019-04359-7openalex-snapshot
A dynamic ensemble learning algorithm for neural networks
inferredcites →https://doi.org/10.1007/s00521-021-06098-0openalex-snapshot
Deep learning-based visual crack detection using Google Street View images
inferredcites →https://doi.org/10.1007/s10044-013-0347-5openalex-snapshot
Fast and effective color-based object tracking by boosted color distribution
inferredcites →https://doi.org/10.1016/j.aei.2015.01.008openalex-snapshot
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
inferredcites →https://doi.org/10.1016/j.autcon.2004.08.014openalex-snapshot
Maintenance optimization of infrastructure networks using genetic algorithms
inferredcites →https://doi.org/10.1016/j.autcon.2018.07.008openalex-snapshot
Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network
inferredcites →https://doi.org/10.1016/j.autcon.2021.104050openalex-snapshot
Rapid pavement aggregate gradation estimation based on 3D data using a multi-feature fusion network
inferredcites →https://doi.org/10.1016/j.conbuildmat.2017.04.097openalex-snapshot
Recognition, location, measurement, and 3D reconstruction of concealed cracks using convolutional neural networks
inferredcites →https://doi.org/10.1016/j.conbuildmat.2017.09.110openalex-snapshot
Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection
inferredcites →https://doi.org/10.1016/j.imavis.2011.10.003openalex-snapshot
FoSA: F* Seed-growing Approach for crack-line detection from pavement images
inferredcites →https://doi.org/10.1016/j.imavis.2016.11.018openalex-snapshot
An efficient and reliable coarse-to-fine approach for asphalt pavement crack detection
inferredcites →https://doi.org/10.1016/j.neucom.2018.10.049openalex-snapshot
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines
inferredcites →https://doi.org/10.1016/j.patrec.2012.07.005openalex-snapshot
Intelligent multi-camera video surveillance: A review
inferredcites →https://doi.org/10.1016/j.patrec.2020.12.015openalex-snapshot
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework
inferredcites →https://doi.org/10.1016/j.soildyn.2017.05.013openalex-snapshot
NEEWS: A novel earthquake early warning model using neural dynamic classification and neural dynamic optimization
inferredcites →https://doi.org/10.1016/j.trc.2013.03.003openalex-snapshot
Incorporating network considerations into pavement management systems: A case for approximate dynamic programming
inferredcites →https://doi.org/10.1016/j.trc.2021.103048openalex-snapshot
Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning
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TrajGAT: A map-embedded graph attention network for real-time vehicle trajectory imputation of roadside perception
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Distinctive Image Features from Scale-Invariant Keypoints
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Support Vector Machines for classification and regression
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A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units
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Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes
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Nonlinear Mixed-Effects Model for the Evaluation and Prediction of Pavement Deterioration
inferredcites →https://doi.org/10.1061/9780784480922.015openalex-snapshot
Deep Learning for Asphalt Pavement Cracking Recognition Using Convolutional Neural Network
inferredcites →https://doi.org/10.1061/jtepbs.0000041openalex-snapshot
Estimation of Routine Maintenance Expenditures for Highway Pavement Segments: Accounting for Heterogeneity Using Random-Effects Models
inferredcites →https://doi.org/10.1080/10298430500195432openalex-snapshot
A model based on artificial neural networks and genetic algorithms for pavement maintenance management
inferredcites →https://doi.org/10.1080/10298436.2016.1199878openalex-snapshot
Mechanistic-empirical methodology for the selection of cost-effective rehabilitation strategy for flexible pavements
inferredcites →https://doi.org/10.1080/10298436.2018.1502433openalex-snapshot
Optimisation of pavement maintenance and rehabilitation activities, timing and work zones for short survey sections and multiple distress types
inferredcites →https://doi.org/10.1080/10298436.2020.1714047openalex-snapshot
Pavement distress detection and classification based on YOLO network
inferredcites →https://doi.org/10.1080/10298436.2020.1825712openalex-snapshot
A novel approach for pavement texture characterisation using 2D-wavelet decomposition
inferredcites →https://doi.org/10.1080/14680629.2017.1308265openalex-snapshot
Recognition of asphalt pavement crack length using deep convolutional neural networks
inferredcites →https://doi.org/10.1080/14680629.2019.1614969openalex-snapshot
Faster region convolutional neural network for automated pavement distress detection
inferredcites →https://doi.org/10.1080/23249935.2017.1378281openalex-snapshot
Safety impacts of pavement surface roughness at two-lane and multi-lane highways: accounting for heterogeneity and seemingly unrelated correlation across crash severities
inferredcites →https://doi.org/10.1080/23311916.2017.1374822openalex-snapshot
A review on automated pavement distress detection methods
inferredcites →https://doi.org/10.1109/access.2019.2894641openalex-snapshot
Measurement Data Fusion Based on Optimized Weighted Least-Squares Algorithm for Multi-Target Tracking
inferredcites →https://doi.org/10.1109/bigdata.2018.8622025openalex-snapshot
Road Damage Detection Using RetinaNet
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
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Staple: Complementary Learners for Real-Time Tracking
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
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Feature Pyramid Networks for Object Detection
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Deeper and Wider Siamese Networks for Real-Time Visual Tracking
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00670openalex-snapshot
Siamese Box Adaptive Network for Visual Tracking
inferredcites →https://doi.org/10.1109/iccsce.2018.8685007openalex-snapshot
Crack Detection and Classification in Asphalt Pavement Images using Deep Convolution Neural Network
inferredcites →https://doi.org/10.1109/iccv.2015.352openalex-snapshot
Hierarchical Convolutional Features for Visual Tracking
inferredcites →https://doi.org/10.1109/icip.2016.7533052openalex-snapshot
Road crack detection using deep convolutional neural network
inferredcites →https://doi.org/10.1109/icma.2014.6885757openalex-snapshot
An efficient image matching method using Speed Up Robust Features
inferredcites →https://doi.org/10.1109/icnc.2013.6818189openalex-snapshot
Human detection and object tracking based on Histograms of Oriented Gradients
inferredcites →https://doi.org/10.1109/icocn.2017.8121270openalex-snapshot
Research on image matching based on improved RANSAC-SIFT algorithm
inferredcites →https://doi.org/10.1109/icsai.2018.8599473openalex-snapshot
Pavement Distress Detection Based on Transfer Learning
inferredcites →https://doi.org/10.1109/ijcnn.2017.7966101openalex-snapshot
How to get pavement distress detection ready for deep learning? A systematic approach
inferredcites →https://doi.org/10.1109/itnec48623.2020.9085181openalex-snapshot
Attention-Aware Network and Multi-Loss Joint Training Method for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/mixdes.2015.7208590openalex-snapshot
Asphalt surfaced pavement cracks detection based on histograms of oriented gradients
inferredcites →https://doi.org/10.1109/tgrs.2020.2998782openalex-snapshot
Simultaneous Detection and Tracking of Moving-Target Shadows in ViSAR Imagery
inferredcites →https://doi.org/10.1109/tim.2007.908277openalex-snapshot
Video-Based Tracking and Incremental Learning Applied to Rodent Behavioral Activity Under Near-Infrared Illumination
inferredcites →https://doi.org/10.1109/tits.2015.2482222openalex-snapshot
A Simplified Computer Vision System for Road Surface Inspection and Maintenance
inferredcites →https://doi.org/10.1109/tits.2018.2799228openalex-snapshot
BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance
inferredcites →https://doi.org/10.1109/tits.2019.2896273openalex-snapshot
Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval
inferredcites →https://doi.org/10.1109/tits.2022.3164391openalex-snapshot
A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree
inferredcites →https://doi.org/10.1109/tits.2022.3182428openalex-snapshot
A Response-Type Road Anomaly Detection and Evaluation Method for Steady Driving of Automated Vehicles
inferredcites →https://doi.org/10.1109/tnnls.2017.2682102openalex-snapshot
A New Neural Dynamic Classification Algorithm
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/vetecs.2004.1391418openalex-snapshot
Fast adaptive variable frame-rate coding
inferredcites →https://doi.org/10.1111/1467-8667.00306openalex-snapshot
A Decision Support System for Flexible Pavement Treatment Selection
inferredcites →https://doi.org/10.1111/exsy.12647openalex-snapshot
Deep learning techniques for recommender systems based on collaborative filtering
inferredcites →https://doi.org/10.1111/exsy.12845openalex-snapshot
Integrating structural control, health monitoring, and energy harvesting for smart cities
inferredcites →https://doi.org/10.1111/j.1467-8667.2010.00674.xopenalex-snapshot
Beamlet Transform‐Based Technique for Pavement Crack Detection and Classification
inferredcites →https://doi.org/10.1111/j.1467-8667.2011.00733.xopenalex-snapshot
Network‐Level Road Pavement Maintenance and Rehabilitation Scheduling for Optimal Performance Improvement and Budget Utilization
inferredcites →https://doi.org/10.1111/mice.12041openalex-snapshot
A Pavement Crack Detection Method Combining 2D with 3D Information Based on Dempster‐Shafer Theory
inferredcites →https://doi.org/10.1111/mice.12042openalex-snapshot
Road Crack Detection Using Visual Features Extracted by Gabor Filters
inferredcites →https://doi.org/10.1111/mice.12263openalex-snapshot
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1111/mice.12279openalex-snapshot
Predicting Cost Escalation Pathways and Deviation Severities of Infrastructure Projects Using Risk‐Based Econometric Models and Monte Carlo Simulation
inferredcites →https://doi.org/10.1111/mice.12334openalex-snapshot
Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types
inferredcites →https://doi.org/10.1111/mice.12351openalex-snapshot
Unified Vision‐Based Methodology for Simultaneous Concrete Defect Detection and Geolocalization
inferredcites →https://doi.org/10.1111/mice.12363openalex-snapshot
Deep Transfer Learning for Image‐Based Structural Damage Recognition
inferredcites →https://doi.org/10.1111/mice.12387openalex-snapshot
Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
inferredcites →https://doi.org/10.1111/mice.12412openalex-snapshot
Automatic Pixel‐Level Crack Detection and Measurement Using Fully Convolutional Network
inferredcites →https://doi.org/10.1111/mice.12440openalex-snapshot
Encoder–decoder network for pixel-level road crack detection in black-box images
inferredcites →https://doi.org/10.1111/mice.12561openalex-snapshot
Generative adversarial network for road damage detection
inferredcites →https://doi.org/10.1111/mice.12674openalex-snapshot
Cross‐scene pavement distress detection by a novel transfer learning framework
inferredcites →https://doi.org/10.1117/12.915384openalex-snapshot
Computer-vision based crack detection and analysis
inferredcites →https://doi.org/10.1142/s0129065718500156openalex-snapshot
A Novel Method of Building Functional Brain Network Using Deep Learning Algorithm with Application in Proficiency Detection
inferredcites →https://doi.org/10.1142/s012906571950014xopenalex-snapshot
Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2020/5804835openalex-snapshot
Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching
inferredcites →https://doi.org/10.1177/0361198120907283openalex-snapshot
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses
inferredcites →https://doi.org/10.24200/sci.2020.22091openalex-snapshot
Machine learning in structural engineering
inferredcites →https://doi.org/10.3141/1570-08openalex-snapshot
Effect of Initial Pavement Smoothness on Future Smoothness and Pavement Life
inferredcites →https://doi.org/10.3141/2645-03openalex-snapshot
Detection of Crack Growth in Asphalt Pavement Through Use of Infrared Imaging
inferredcites →https://doi.org/10.3233/ica-200635openalex-snapshot
Deep support vector neural networks
inferredcites →https://doi.org/10.3390/data3030028openalex-snapshot
Deep Learning in Data-Driven Pavement Image Analysis and Automated Distress Detection: A Review
inferredcites →https://doi.org/10.3390/math9243162openalex-snapshot
Trends in Vehicle Re-Identification Past, Present, and Future: A Comprehensive Review
inferredcites →https://doi.org/10.3390/s20216205openalex-snapshot
An Architectural Multi-Agent System for a Pavement Monitoring System with Pothole Recognition in UAV Images
inferredcites →https://doi.org/10.5120/17723-8018openalex-snapshot
Automatic Road Distress Detection and Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4821749openalex-extracted
Engineering-Adaptive Pavement Maintenance Decision-Making Model: A Reinforcement Learning Approach from Expert Feedback
inferred← citeshttps://doi.org/10.2139/ssrn.4868230openalex-extracted
Engineering-Adaptive Pavement Maintenance Decision-Making Model: A Reinforcement Learning Approach from Expert Feedback
inferred← citeshttps://doi.org/10.2139/ssrn.5092985openalex-extracted
How to Predict with Noisy Data? A Weighted Bayesian Fusion Estimation Method Incorporated in Prediction Model
inferred← citeshttps://doi.org/10.1002/pamm.202400155openalex-snapshot
Towards an analysis of damage progression in concrete pavements using machine learning and computer vision
inferred← citeshttps://doi.org/10.1016/j.aei.2026.104578openalex-snapshot
A weighted Bayesian estimation method for process uncertainty in crowdsourced data for pavement performance prediction
inferred← citeshttps://doi.org/10.1016/j.cacaie.2026.100027openalex-snapshot
Self-supervised adaptation of dense pavement image matching for long-term road monitoring under challenging visual conditions
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.104546openalex-snapshot
Deep learning-based system for automated damage detection and quantification in concrete pavement
inferred← citeshttps://doi.org/10.1061/jpeodx.pveng-1880openalex-snapshot
PCI Estimation Method for Evaluating Asphalt Deterioration Leveraging SAM and YOLOv8
inferred← citeshttps://doi.org/10.1080/10298436.2025.2458731openalex-snapshot
A data-and-knowledge-driven framework for automated generation of asphalt pavement maintenance strategies
inferred← citeshttps://doi.org/10.1080/10298436.2026.2743861openalex-snapshot
AI-integrated non-destructive sensing technologies for road condition assessment: recent advancements, technical bottlenecks, and future trajectories
inferred← citeshttps://doi.org/10.1080/14680629.2023.2219338openalex-snapshot
Detection and classification of pavement damages using wavelet scattering transform, fractal dimension by box-counting method and machine learning algorithms
inferred← citeshttps://doi.org/10.1109/tits.2025.3547939openalex-snapshot
Engineering-Adaptive Pavement Maintenance Decision-Making Model: A Reinforcement Learning Approach From Expert Feedback
inferred← citeshttps://doi.org/10.1111/mice.13171openalex-snapshot
A controllable generative model for generating pavement crack images in complex scenes
inferred← citeshttps://doi.org/10.1111/mice.13200openalex-snapshot
AI‐enabled airport runway pavement distress detection using dashcam imagery
inferred← citeshttps://doi.org/10.1111/mice.13406openalex-snapshot
Infrared thermography and 3D pavement surface unevenness measurement algorithm for damage assessment of concrete bridge decks
inferred← citeshttps://doi.org/10.1111/mice.70001openalex-snapshot
Advanced low‐light image transformation for accurate nighttime pavement distress detection
inferred← citeshttps://doi.org/10.1111/mice.70169openalex-snapshot
A spatiotemporal prediction method for the evolution of pavement distress in road networks
inferred← citeshttps://doi.org/10.1139/cjce-2025-0501openalex-snapshot
Detection and classification of asphalt pavement deterioration using YOLOv8
inferred← citeshttps://doi.org/10.1145/3764924.3770893openalex-snapshot
Toward Reliable Pavement Digital Twins: Multi-Scale Spatiotemporal Monitoring Challenges and Solutions
inferred← citeshttps://doi.org/10.3390/a18060369openalex-snapshot
The Fine Feature Extraction and Attention Re-Embedding Model Based on the Swin Transformer for Pavement Damage Classification
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