- SHREC 2022: Pothole and crack detection in the road pavement using images and RGB-D data
- UNET 3+: A FULL-SCALE CONNECTED UNET FOR MEDICAL IMAGE SEGMENTATION
- An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment
- A Review of Pavement Condition Rating Models for Flexible Pavements
- Code of Practice for Maintenance of Bituminous Road Surfaces
akshaysyal / road-condition-rating-system Goto Github PK
View Code? Open in Web Editor NEWCreated a Road Condition Rating System which consist of a multiclass image semantic segmentation model that can segment common pavement distresses like potholes and cracks. The model is trained on the SHREC 2022 PotholeMix Dataset. The system utilizes the model to calculate rating of road as per norms described in IRC 82 handbook.