A 3D Lidar SLAM System Based on Semantic Segmentation for Rubber-Tapping Robot

A 3D Lidar SLAM System Based on Semantic Segmentation for Rubber-Tapping Robot

Simultaneous localization and mapping (SLAM) in rubber plantations is a challenging task for rubber-tapping robots. Due to the long-term stability of tree trunks in rubber plantations, a SLAM system based on semantic segmentation, called Se-LOAM, is proposed in this work. The 3D lidar point cloud da...

Full description

Bibliographic Details
Main Authors: Hui Yang, Yaya Chen, Junxiao Liu, Zhifu Zhang, Xirui Zhang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Forests
Subjects:
SLAM
rubber-tapping robots
semantic segmentation
3D lidar
point clouds
Online Access:https://www.mdpi.com/1999-4907/14/9/1856

Similar Items

Similar Items