Heye Huang

K-Risk reveals that a knowledge-augmented dataset can significantly improve the understanding and management of high-risk driving scenarios in autonomous vehicles.

LLMs can now predict where drivers look with uncanny human-like accuracy, thanks to a new dataset and architecture that grounds attention in objects, not just scenes.

Time-to-collision metrics miss critical collision risk information, but a new 2D acceleration-based metric anticipates collisions far better.