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arXiv AI By Yansong Qu, Jiancong Chen, Samuel Labi

Jev with Foresight: Safe Language-Guided Autonomous Driving via a Language World Model

Read the original on arXiv AI →

Jev-AD combines a typed decision model, Jev, with a language world model to predict how nearby vehicles will move over the next two seconds for each candidate action. By comparing these predictions to the decision model’s outputs, Jev-AD reduces collision rates dramatically in both simulated highway merging (from 26.0% to 2.4%) and real‑world NGSIM episodes (from 48.2% to 2.8%). The system also achieves passenger intent in 93% of free‑form command trials and foresees 93% of dangerous actions in real traffic.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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