Chuheng Wei

Standard motion benchmarks fail inside the cabin because drivers mostly sit still—until right before a maneuver, when arm movement spikes 3.4x.

Trajectory scoring can be dramatically improved by leveraging a dataset that better captures decision boundaries, leading to enhanced performance in autonomous driving systems.

Personalized predictions of driver behavior in dilemma zones can achieve over 93% accuracy by harnessing visual semantics and driver profiles.

Reliably tracking freight vehicles at intersections just got easier: a new multi-modal system fuses LiDAR and camera data for high-resolution, real-time monitoring.