BEVFusion Standalone install? If this session was not initialized by the TAO skill bank plugin, run the skill first (host preflight, credentials, cross-skill discovery). 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. Set pretrained backbone paths for Swin image backbone. BEVFusion requires the BEVFusion-specific TAO container . <!-- unpinned: BEVFusion-only container -- Shared TAO PyTorch 7.x images do not package and fail before any BEVFusion action can parse its s…