Model
BEVFusion model to detect 3D objects from point cloud and RGB data.
Use the NGC CLI to download:
Copied!
| Field | Response |
|---|---|
| Intended Application(s) & Domain(s): | Object Detection (People). |
| Model Type: | 3D Object Detection. |
| Intended Users: | This model is intended for developers working in industrial, robotics, and smart space applications. |
| Output: | 3-D Bounding Box(es), Category Label(s), Confidence Score(s) |
| Describe how the model works: | Detects one or more objects from fused LIDAR point cloud features and camera RGB features. |
| Technical Limitations: | This model may not work well for detecting partially or fully occluded persons. |
| Verified to have met prescribed NVIDIA standards: | Yes |
| Performance Metrics: | Mean Average Precision (mAP) |
| Licensing: | NVIDIA Open Model License |