SEE-CSOM: sharp-edged and efficient continuous semantic occupancy mapping for mobile robots
Generating an accurate and continuous semantic occupancy map is a key component of autonomous robotics. Most existing continuous semantic occupancy mapping methods neglect the potential differences between voxels, which reconstruct an overinflated map. What is more, these methods have high computati...
| Main Authors: | , , , , |
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| Outros autores: | |
| Formato: | Journal Article |
| Idioma: | English |
| Publicado: |
2023
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| Subjects: | |
| Acceso en liña: | https://hdl.handle.net/10356/172336 |