An autonomous navigation method for orchard mobile robots based on octree 3D point cloud optimization
Three-dimensional (3D) LiDAR is crucial for the autonomous navigation of orchard mobile robots, offering comprehensive and accurate environmental perception. However, the increased richness of information provided by 3D LiDAR also leads to a higher computational burden for point cloud data processin...
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2025-01-01
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| Serie: | Frontiers in Plant Science |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1510683/full |
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