Description: BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird’s-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include “train BEVFusion”, “LiDAR + camera fusion”, “BEV 3D detection”, “multi-sensor 3D perception”.
Lines: 230 | Code: 26 | Dir: tao-train-bevfusion
name: tao-train-bevfusion description: BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird’s-eye-view (BEV) space, used in autonomous driving for r…