Road Damage Detection
13 papers with code • 1 benchmarks • 3 datasets
Road damage detection is the task of detecting damage in roads.
( Image credit: Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN )
Libraries
Use these libraries to find Road Damage Detection models and implementations
RDD-2020
Pothole Mix
NPO
Most implemented papers
Computer-Aided Road Inspection: Systems and Algorithms
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety.
RDD2022: A multi-national image dataset for automatic Road Damage Detection
sekilab/RoadDamageDetector
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The data article describes the Road Damage Dataset, RDD2022, which comprises 47, 420 road images from six countries, Japan, India, the Czech Republic, Norway, the United States, and China.
InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles Segmentation
lab-sun/inconseg
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journal 2023
Segmentation of road obstacles, including negative and positive obstacles, is critical to the safe navigation of autonomous vehicles.
