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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 main
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