VVSim is a large-scale dataset created for aerial–ground cooperative perception (AGCP). It integrates synchronized multimodal sensing data and state information collected simultaneously from vehicles and UAVs. The dataset contains 61K fully annotated frames that cover 19 interaction scenarios (e.g., cut-in and lane change), along with 5 weather conditions (e.g., sunny, foggy, rainy, cloudy, snowy) and 11 scene types such as city, town, university, highway, and… See the full description on the dataset page:
https://huggingface.co/datasets/LOTEAT/VVSim.
