An asynchronous dual-system architecture forecasts large-model features into the current frame and adds a small-model update to drive in near real time, scoring 69.53 on Bench2Drive at 50 ms.
InternVL: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
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ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models
An asynchronous dual-system architecture forecasts large-model features into the current frame and adds a small-model update to drive in near real time, scoring 69.53 on Bench2Drive at 50 ms.