SparseBEV is a PyTorch implementation of a high-performance 3D object detection system that uses sparse sampling and transformer architectures to process multi-camera video data. The model converts 2D camera inputs into 3D bird’s-eye-view representations to detect objects in autonomous driving scenarios. It was published at ICCV 2023 and extended to TPAMI 2026.