Road Damage Detection
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Benchmarks
NPO
Most implemented
An Efficient and Scalable Deep Learning Approach for Road Damage Detection
FasterRCNN Monitoring of Road Damages: Competition and Deployment
Transfer Learning-based Road Damage Detection for Multiple Countries
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
RDD4D: 4D Attention-Guided Road Damage Detection And Classification
Papers
YOLO26-RD: An End-to-End Road Damage Detection Network With Learnable Contrast Enhancement and Edge-Guided Downsampling
Pavement distress detectors are conventionally specialised for small objects, typically by adding a stride-4 detection head and replacing strided convolution with space-to-depth downsampling. This paper tests that premis…
Road Damage DetectionIntelligent Road Condition Monitoring using 3D In-Air SONAR Sensing
In this paper, we investigate the capabilities of in-air 3D SONAR sensors for the monitoring of road surface conditions. Concretely, we consider two applications: Road material classification and Road damage detection an…
Road Damage DetectionComparative Analysis of Custom CNN Architectures versus Pre-trained Models and Transfer Learning: A Study on Five Bangladesh Datasets
This study presents a comprehensive comparative analysis of custom-built Convolutional Neural Networks (CNNs) against popular pre-trained architectures (ResNet-18 and VGG-16) using both feature extraction and transfer le…
Road Damage DetectionImage ClassificationTransfer LearningSelf-Supervised Visual Prompting for Cross-Domain Road Damage Detection
The deployment of automated pavement defect detection is often hindered by poor cross-domain generalization. Supervised detectors achieve strong in-domain accuracy but require costly re-annotation for new environments, w…
Domain GeneralizationRoad Damage DetectionStripRFNet: A Strip Receptive Field and Shape-Aware Network for Road Damage Detection
Well-maintained road networks are crucial for achieving Sustainable Development Goal (SDG) 11. Road surface damage not only threatens traffic safety but also hinders sustainable urban development. Accurate detection, how…
Road Damage DetectionObject DetectionYOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection
Road damage detection is a critical task for ensuring traffic safety and maintaining infrastructure integrity. While deep learning-based detection methods are now widely adopted, they still face two core challenges: firs…
Road Damage Detection