CARLA Autopilot Multimodal Dataset

CARLA Autopilot Multimodal Dataset This dataset contains synchronized multimodal driving data collected in the CARLA simulator using the autopilot feature. It provides RGB images from multiple cameras, semantic segmentation, LiDAR point clouds, 2D bounding boxes, and ego-vehicle state/control signals across varied weather, maps, and traffic densities. The dataset is designed for research in autonomous driving, sensor fusion, imitation learning, and self-driving evaluation.… See the full description on the dataset page:

Source: Hugging Face Hub (immanuelpeter/carla-autopilot-multimodal-dataset). Metadata imported from the dataset’s Hub tags.