Sang Ho Yoon

LighTROcc: Lightweight 4D Occupancy Forecasting via Instance-Centric 3D Gaussians

Forecasting future 3D occupancy from surround-view cameras is essential for autonomous driving, yet existing approaches rely on dense voxel or bird's-eye-view representations whose cost grows rapidly with spatial resolution and prediction horizon. Because these representations do not explicitly maintain object identiti...