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Application of Various YOLO Models for Computer Vision-Based Real-Time Pothole Detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot
SSD: Single Shot MultiBox Detector
inferredcites →https://doi.org/10.1007/978-981-16-7160-9_128openalex-snapshot
Evaluation of Damage Level for Ground Settlement Using the Convolutional Neural Network
inferredcites →https://doi.org/10.1016/j.engfracmech.2019.106567openalex-snapshot
Fast evaluation of crack growth path using time series forecasting
inferredcites →https://doi.org/10.1016/j.ijtst.2020.07.004openalex-snapshot
Feasibility study of asphalt pavement pothole properties measurement using 3D line laser technology
inferredcites →https://doi.org/10.1016/j.ins.2019.11.034openalex-snapshot
Transfer learning for vehicle detection using two cameras with different focal lengths
inferredcites →https://doi.org/10.1038/s41598-020-79336-5openalex-snapshot
A 3D-CNN model with CT-based parametric response mapping for classifying COPD subjects
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000245openalex-snapshot
Unsupervised Approach for Autonomous Pavement-Defect Detection and Quantification Using an Inexpensive Depth Sensor
inferredcites →https://doi.org/10.1080/10298436.2020.1714047openalex-snapshot
Pavement distress detection and classification based on YOLO network
inferredcites →https://doi.org/10.1109/access.2019.2961959openalex-snapshot
Tinier-YOLO: A Real-Time Object Detection Method for Constrained Environments
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/cvpr.2018.00644openalex-snapshot
Cascade R-CNN: Delving Into High Quality Object Detection
inferredcites →https://doi.org/10.1109/iscas.2010.5537907openalex-snapshot
Convolutional networks and applications in vision
inferredcites →https://doi.org/10.1109/iscid.2019.10086openalex-snapshot
Crack Detection of Track Plate Based on YOLO
inferredcites →https://doi.org/10.1109/mits.2017.2666579openalex-snapshot
Assistive Intelligent Transportation Systems: The Need for User Localization and Anonymous Disability Identification
inferredcites →https://doi.org/10.1109/nics51282.2020.9335830openalex-snapshot
Stereo Domain Translation for Denoising and Super-Resolution Using Correlation Loss
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/10.1111/j.1467-8667.2011.00736.xopenalex-snapshot
Automatic Road Defect Detection by Textural Pattern Recognition Based on AdaBoost
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/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2015/869627openalex-snapshot
A Real-Time Pothole Detection Approach for Intelligent Transportation System
inferredcites →https://doi.org/10.1201/9781003092278openalex-snapshot
Pavement, Roadway, and Bridge Life Cycle Assessment 2020
inferredcites →https://doi.org/10.12989/sss.2019.24.6.745openalex-snapshot
Autonomous pothole detection using deep region-based convolutional neural network with cloud computing
inferredcites →https://doi.org/10.2196/24973openalex-snapshot
Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study
inferredcites →https://doi.org/10.32604/cmc.2019.08001openalex-snapshot
Forecasting Damage Mechanics by Deep Learning
inferredcites →https://doi.org/10.3390/app11114758openalex-snapshot
Augmented Reality Maintenance Assistant Using YOLOv5
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/10.34740/kaggle/dsv/973710openalex-snapshot
Annotated Potholes Image Dataset
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1002/sd.70253openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-15063-0_32openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-15063-0_33openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-66594-3_4openalex-snapshot
Pothole Classification Using DenseNet Model: An Empirical Analysis with CNN and InceptionResNetV2
inferred← citeshttps://doi.org/10.1007/978-3-031-70102-3_21openalex-snapshot
Comparative Analysis of YOLO8 and YOLO5 Variants in Detecting Cracks on Solar Panels
inferred← citeshttps://doi.org/10.1007/978-3-031-86296-0_13openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-95649-2_10openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-19678-1_35openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-92-0068-9_30openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-95-6770-6_114openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-95-6770-6_126openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-95-6770-6_128openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-95-6770-6_17openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-96-3725-6_26openalex-snapshot
Image-Based Pavement Pothole Detection System Using Deep Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-3912-0_17openalex-snapshot
Segmentation of Concrete Surface Cracks Using DeeplabV3 and DeeplabV3+
inferred← citeshttps://doi.org/10.1007/978-981-96-4226-7_4openalex-snapshot
Road Conditions and Potholes Classification Technique Using Xception Model
inferred← citeshttps://doi.org/10.1007/978-981-97-0327-2_11openalex-snapshot
A Robust Solution for Pothole Detection and Mapping in Developing Countries
inferred← citeshttps://doi.org/10.1007/978-981-97-1972-3_38openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-97-3180-0_34openalex-snapshot
Pothole Detection of Road Pavement by Modified MobileNetV2 for Transfer Learning
inferred← citeshttps://doi.org/10.1007/978-981-99-7434-4_162openalex-snapshot
Post-Earthquake Damage Assessment of Building Based on Deep Learning
inferred← citeshttps://doi.org/10.1007/978-981-99-7434-4_164openalex-snapshot
Segmentation of Concrete Surface Cracks Using DeeplabV3+ Architecture
inferred← citeshttps://doi.org/10.1007/978-981-99-7434-4_165openalex-snapshot
Semantic Segmentation of Cracks Using DeepLabv3+
inferred← citeshttps://doi.org/10.1007/s00138-026-01859-0openalex-snapshot
A deep vision approach for pavement pothole quantification enhanced by marker-based spatial scaling
inferred← citeshttps://doi.org/10.1007/s10845-024-02411-5openalex-snapshot
Flexible and robust detection for assembly automation with YOLOv5: a case study on HMLV manufacturing line
inferred← citeshttps://doi.org/10.1007/s11042-024-19723-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11554-025-01849-xopenalex-snapshot
SBP-YOLO: a lightweight real-time model for detecting speed bumps and potholes toward intelligent vehicle suspension systems
inferred← citeshttps://doi.org/10.1007/s11709-024-1040-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12046-025-03011-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12518-025-00686-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12652-022-04358-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13177-025-00487-8openalex-snapshot
Optimization of Road Object Detection and Localization System Using YOLOv4 Model with Binocular Vision Fusion
inferred← citeshttps://doi.org/10.1007/s13349-022-00643-8openalex-snapshot
Artificial intelligence-based visual inspection system for structural health monitoring of cultural heritage
inferred← citeshttps://doi.org/10.1007/s41062-023-01232-4openalex-snapshot
A LiDAR-camera fusion approach for automated detection and assessment of potholes using an autonomous vehicle platform
inferred← citeshttps://doi.org/10.1007/s41062-026-02500-9openalex-snapshot
Enhancing road infrastructure management efficiency using Yolov8 model for pavement damage detection
inferred← citeshttps://doi.org/10.1007/s42947-024-00474-4openalex-snapshot
Detection of Potholes in Asphalt Pavements Using YOLOv4 Architecture
inferred← citeshttps://doi.org/10.1007/s42947-026-00867-7openalex-snapshot
C2HopRDCN: Optimized Deep Learning Framework for Pothole Detection Using Crocuta Cooperative Hunting Algorithm
inferred← citeshttps://doi.org/10.1007/s43684-022-00037-zopenalex-snapshot
Enhanced pothole detection system using YOLOX algorithm
inferred← citeshttps://doi.org/10.1007/s44163-025-00297-7openalex-snapshot
Advancements in pothole detection techniques: a comprehensive review and comparative analysis
inferred← citeshttps://doi.org/10.1007/s44196-023-00390-8openalex-snapshot
Optimized Convolutional Forest by Particle Swarm Optimizer for Pothole Detection
inferred← citeshttps://doi.org/10.1007/s44285-026-00073-8openalex-snapshot
Computational intelligence for road pavement condition assessment: a deep learning perspective
inferred← citeshttps://doi.org/10.1016/j.compstruc.2025.107761openalex-snapshot
Deep learning-based post-earthquake structural damage level recognition
inferred← citeshttps://doi.org/10.1016/j.egyr.2024.11.033openalex-snapshot
Rapid adaptation in photovoltaic defect detection: Integrating CLIP with YOLOv8n for efficient learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124626openalex-snapshot
Laser-based drone vision disruption with a real-time tracking system for privacy preservation
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e30957openalex-snapshot
Automatic detection of potholes using VGG-16 pre-trained network and Convolutional Neural Network
inferred← citeshttps://doi.org/10.1016/j.jreng.2024.01.006openalex-snapshot
Development and optimization of object detection technology in pavement engineering: A literature review
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.117344openalex-snapshot
A novel method for pothole detection based on incomplete point clouds
inferred← citeshttps://doi.org/10.1016/j.ohx.2026.e00775openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.procs.2026.08.298openalex-snapshot
Evaluating YOLOv12 for Road Pothole Detection: A Cross-Dataset Performance Comparison
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.107322openalex-snapshot
Enhanced pothole detection in low-light conditions using DCE-Pothole and YOLOv10 fusion
inferred← citeshttps://doi.org/10.1016/j.trpro.2023.11.255openalex-snapshot
Automated Detection Of Potholes Using YOLOv5 Neural Network
inferred← citeshttps://doi.org/10.1016/j.trpro.2023.11.257openalex-snapshot
Automatic pothole detection
inferred← citeshttps://doi.org/10.1038/s41598-025-06567-9openalex-snapshot
Cascade drive: a unified deep learning framework for multi-featured detection and control in autonomous electric vehicles on unstructured roadways
inferred← citeshttps://doi.org/10.1038/s41598-026-48201-2openalex-snapshot
A hybrid GAN–SegFormer–YOLOv9 framework with fuzzy logic for pothole detection and severity classification
inferred← citeshttps://doi.org/10.1038/s44387-025-00001-1openalex-snapshot
Deep learning-based framework for the on-demand inverse design of metamaterials with arbitrary target band gap
inferred← citeshttps://doi.org/10.1049/ipr2.13300openalex-snapshot
Pothole detection‐you only look once: Deformable convolution based road pothole detection
inferred← citeshttps://doi.org/10.1061/9780784486191.036openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/23789689.2023.2287857openalex-snapshot
Road surface damages allocation with RTI-IMS software based on YOLO V5 model
inferred← citeshttps://doi.org/10.1088/1361-6501/acdb8dopenalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-6501/ae2cafopenalex-snapshot
Road pothole recognition in multiple weather scenarios based on YOLOv8 optimization algorithm
inferred← citeshttps://doi.org/10.1109/access.2024.3451708openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2024.3481649openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2024.3512783openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2025.3582976openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/aihcir61661.2023.00050openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/areis62559.2024.10893665openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/asiancon58793.2023.10270189openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cist65886.2025.11224074openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/comp-sif65618.2025.10969897openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cvmi59935.2023.10465038openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ehb55594.2022.9991727openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/etis64005.2025.10961496openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/fet68771.2026.11601708openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/gseact68539.2026.11620558openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icaiccit64383.2024.10912109openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10724462openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icccs61882.2024.10602876openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icce-taiwan55306.2022.9869054openalex-snapshot
Implementation of a Real-time Uneven Pavement Detection System on FPGA Platforms
inferred← citeshttps://doi.org/10.1109/iccsai64074.2025.11064167openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icdsbs63635.2025.11031999openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icdsns62112.2024.10690953openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iceca55336.2022.10009324openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icecet61485.2024.10698144openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iciba56860.2023.10165578openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iciss59129.2023.10291192openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iciss71466.2026.11715302openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icodsa67155.2025.11156970openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485325openalex-snapshot
A Hybrid Deep Learning Model for Accurate Pothole Detection
inferred← citeshttps://doi.org/10.1109/icpc2t68221.2026.11645017openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsccc69031.2026.11600137openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icuis64676.2024.10867220openalex-snapshot
Smart Vehicle-Mounted Pothole Detection and Mapping System with Real-Time Database Integration
inferred← citeshttps://doi.org/10.1109/icvadv63329.2025.10961898openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icvrv67992.2025.00015openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/inocon60754.2024.10512004openalex-snapshot
Pothole detection using YOLOv8 and CNN
inferred← citeshttps://doi.org/10.1109/jiot.2024.3517342openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/migars57353.2023.10064547openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/qpain69676.2026.11546663openalex-snapshot
Pothole Detection and Segmentation Using YOLOv8 with Spatial–Channel Attention
inferred← citeshttps://doi.org/10.1109/rmkmate69073.2026.11518768openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/skima59232.2023.10387329openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/soli57430.2022.10294799openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tencon58879.2023.10322464openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tiv.2023.3326136openalex-snapshot
Pavement Defect Detection With Deep Learning: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/wconf64849.2025.11233392openalex-snapshot
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inferred← citeshttps://doi.org/10.1117/12.3060708openalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s2424922x26500026openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2022/9221211openalex-snapshot
Pothole Detection Using Deep Learning: A Real‐Time and AI‐on‐the‐Edge Perspective
inferred← citeshttps://doi.org/10.1155/adce/7911336openalex-snapshot
Pothole Detection and Assessment on Highways Using Enhanced YOLO Algorithm With Attention Mechanisms
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141242openalex-snapshot
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inferred← citeshttps://doi.org/10.1515/jisys-2025-0055openalex-snapshot
Automated detection and classification of road infrastructure for intelligent urban planning
inferred← citeshttps://doi.org/10.1515/teme-2026-0012openalex-snapshot
Estimation of pothole structural parameters using depth data under oblique observation
inferred← citeshttps://doi.org/10.15446/dyna.v92n238.120252openalex-snapshot
Classification of pothole distress severity in asphalt pavements using YOLOv8
inferred← citeshttps://doi.org/10.22206/cyap.2022.v5i1.pp77-107openalex-snapshot
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inferred← citeshttps://doi.org/10.23919/ccc64809.2025.11179695openalex-snapshot
YOLO-Based Multi-Scale Optimized Real-Time Detection Algorithm for Road Potholes
inferred← citeshttps://doi.org/10.3233/atde221099openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/idt-240127openalex-snapshot
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inferred← citeshttps://doi.org/10.33042/3083-6727-2025-4-192-258-266openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/agriculture12050717openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app12115320openalex-snapshot
Review of Recent Automated Pothole-Detection Methods
inferred← citeshttps://doi.org/10.3390/app13031435openalex-snapshot
AAL-Net: A Lightweight Detection Method for Road Surface Defects Based on Attention and Data Augmentation
inferred← citeshttps://doi.org/10.3390/app13095810openalex-snapshot
Comparison of CNN-Based Models for Pothole Detection in Real-World Adverse Conditions: Overview and Evaluation
inferred← citeshttps://doi.org/10.3390/app14114864openalex-snapshot
Machine Learning-Driven Calibration of Traffic Models Based on a Real-Time Video Analysis
inferred← citeshttps://doi.org/10.3390/app15137137openalex-snapshot
Food Waste Detection in Canteen Plates Using YOLOv11
inferred← citeshttps://doi.org/10.3390/asi7010011openalex-snapshot
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
inferred← citeshttps://doi.org/10.3390/buildings14030599openalex-snapshot
Analysis of Mechanical Response of Epoxy Asphalt-Repaired Pavement in Pothole Interface on Steel Bridge Deck under Coupled Temperature-Dynamic Loading
inferred← citeshttps://doi.org/10.3390/cryptography7010007openalex-snapshot
Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities
inferred← citeshttps://doi.org/10.3390/drones8060244openalex-snapshot
Automatic Road Pavement Distress Recognition Using Deep Learning Networks from Unmanned Aerial Imagery
inferred← citeshttps://doi.org/10.3390/electronics12040826openalex-snapshot
Image-Based Pothole Detection Using Multi-Scale Feature Network and Risk Assessment
inferred← citeshttps://doi.org/10.3390/electronics12040898openalex-snapshot
Dense Multiscale Feature Learning Transformer Embedding Cross-Shaped Attention for Road Damage Detection
inferred← citeshttps://doi.org/10.3390/f16030431openalex-snapshot
Forestry Segmentation Using Depth Information: A Method for Cost Saving, Preservation, and Accuracy
inferred← citeshttps://doi.org/10.3390/s22093537openalex-snapshot
Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection
inferred← citeshttps://doi.org/10.3390/s22228878openalex-snapshot
Computer Vision Based Pothole Detection under Challenging Conditions
inferred← citeshttps://doi.org/10.3390/s24175652openalex-snapshot
A Review of Vision-Based Pothole Detection Methods Using Computer Vision and Machine Learning
inferred← citeshttps://doi.org/10.3390/s26154796openalex-snapshot
PotholeBAF-Net: Boundary-Aware Fusion Network with Low-Rank Transformer Bridge for Zero-Shot Cross-Dataset Pothole Segmentation
inferred← citeshttps://doi.org/10.3390/su16219168openalex-snapshot
PDS-UAV: A Deep Learning-Based Pothole Detection System Using Unmanned Aerial Vehicle Images
inferred← citeshttps://doi.org/10.3390/su172310641openalex-snapshot
Investigation of the Transferability of Measured Data for Application of YOLOv8s in the Identification of Road Defects: An SA-Indian Case Study
inferred← citeshttps://doi.org/10.3390/wevj15100455openalex-snapshot
Design of a Low-Cost AI System for the Modernization of Conventional Cars
inferred← citeshttps://doi.org/10.4018/979-8-3373-1399-3.ch010openalex-snapshot
Enhanced Autonomous Driving
inferred← citeshttps://doi.org/10.4018/979-8-3373-2555-2.ch015openalex-snapshot
Sustainable Innovation for Pothole Detection and Road Maintenance
inferred← citeshttps://doi.org/10.54097/hset.v41i.6740openalex-snapshot
A Technical Comparison of YOLO-Based Chest Cancer Diagnosis Methods
inferred← citeshttps://doi.org/10.56578/jii020103openalex-snapshot
An Advanced YOLOv5s Approach for Vehicle Detection Integrating Swin Transformer and SimAM in Dense Traffic Surveillance
inferred← citeshttps://doi.org/10.7717/peerj-cs.2519openalex-snapshot
Modified MobileNetV2 transfer learning model to detect road potholes
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