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...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10401931/ |
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