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 implementationsMost 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
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
Segmentation of road obstacles, including negative and positive obstacles, is critical to the safe navigation of autonomous vehicles.