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YongshuoLiu/LANTERN

LANTERN 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. Contents 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.

Author / organizationYongshuoLiu
License (as declared)other
Downloads168 (as reported by Hugging Face)
Likes0
Created20 August 2026
Last updated at source20 August 2026
autonomous-drivingcooperative-drivingvision-language-actioncarlaclosed-loop
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