Chao Ma

PixelPilot redefines trajectory prediction in autonomous driving by transforming it into scalable 2D tasks, leading to unprecedented generalization across heterogeneous datasets.

Targeted structural completion can slash Gaussian usage by 74% and rendering time by 34%, revolutionizing 3D reconstruction in autonomous driving.

SparseOcc++ achieves a 2.3-point IoU improvement while being 3.9 times faster than previous methods, revolutionizing 3D semantic occupancy prediction.