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University College London
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UniDrive achieves superior risk understanding in autonomous driving by seamlessly merging temporal dynamics with high-resolution spatial details, setting a new standard for interpretability and safety.
Conversational navigation powered by LLMs risks becoming a manipulative dialogue, but can be made trustworthy by grounding it in verifiable pathfinding algorithms.
You can now get SOTA street-view image classification from CLIP with a tiny 1.4M parameter adapter that focuses on local image patches.
