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https://github.com/NVIDIA-AI-IOT/Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
https://github.com/NVIDIA-AI-IOT/Lidar_AI_Solution
Last synced: 4 months ago
JSON representation
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
- Host: GitHub
- URL: https://github.com/NVIDIA-AI-IOT/Lidar_AI_Solution
- Owner: NVIDIA-AI-IOT
- License: other
- Created: 2023-05-15T15:44:23.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2024-10-08T10:07:33.000Z (5 months ago)
- Last Synced: 2024-10-23T13:36:24.012Z (4 months ago)
- Language: Python
- Size: 114 MB
- Stars: 1,292
- Watchers: 18
- Forks: 228
- Open Issues: 105
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
- awesome-yolo-object-detection - NVIDIA-AI-IOT/Lidar_AI_Solution - AI-IOT/Lidar_AI_Solution?style=social"/> : This is a highly optimized solution for self-driving 3D-lidar repository. It does a great job of speeding up sparse convolution/CenterPoint/BEVFusion/OSD/Conversion. A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,). (Applications)
- awesome-yolo-object-detection - NVIDIA-AI-IOT/Lidar_AI_Solution - AI-IOT/Lidar_AI_Solution?style=social"/> : This is a highly optimized solution for self-driving 3D-lidar repository. It does a great job of speeding up sparse convolution/CenterPoint/BEVFusion/OSD/Conversion. A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,). (Applications)