An autonomous navigation method for orchard mobile robots based on octree 3D point cloud optimization

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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Bibliographic Details
Main Authors: Hailong Li, Kai Huang, Yuanhao Sun, Xiaohui Lei, Quanchun Yuan, Jinqi Zhang, Xiaolan Lv
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Plant Science
Subjects:
octree
autonomous navigation
3D LiDAR
orchard mobile robot
point cloud optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1510683/full
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