Automatic Pseudo-LiDAR Annotation: Generation of Training Data for 3D Object Detection Networks
Object detection in 3D is a key ingredient of various autonomous systems. Many 3D object detection methods rely on LiDAR, as it is robust to illumination conditions and provides accurate distance measurements. To apply LiDAR-based 3D object detection networks for new objects, we need new training da...
| 出版年: | IEEE Access |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2024-01-01
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| 主題: | |
| オンライン・アクセス: | https://ieeexplore.ieee.org/document/10401931/ |
