ROSE: Roadside Oversight-Guided Scenario Enhancement with Self-Supervised Coupling for multi-modal Perception

ROSE is a PyTorch/MMDetection3D-based framework for robust roadside Camera–LiDAR 3D object detection under adverse weather. The code implements physics-guided cross-modal augmentation (RISA), teacher–student self-supervised coupling, adaptive training analysis, and tools for training, evaluation, and visualization on DAIR-V2X-style datasets.