LANTERN is a benchmark for temporally grounded cooperative warnings in autonomous driving. This dataset repository releases the final open-loop training collection and the frozen closed-loop evaluation suite used by the benchmark.
Open-loop collection: 3,272 route sequences, 236,309 synchronized frames, and 119.8 GB of payload data.
Closed-loop suite: 120 hazard routes and 120 paired, context-preserving no-hazard controls across six scenario… See the full description on the dataset page:
https://huggingface.co/datasets/YongshuoLiu/LANTERN.
