A Novel Point Cloud Adaptive Filtering Algorithm for LiDAR SLAM in Forest Environments Based on Guidance Information

A Novel Point Cloud Adaptive Filtering Algorithm for LiDAR SLAM in Forest Environments Based on Guidance Information

To address the issue of accuracy in Simultaneous Localization and Mapping (SLAM) for forested areas, a novel point cloud adaptive filtering algorithm is proposed in the paper, based on point cloud data obtained by backpack Light Detection and Ranging (LiDAR). The algorithm employs a K-D tree to cons...

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Bibliographic Details
Main Authors: Shuhang Yang, Yanqiu Xing, Dejun Wang, Hangyu Deng
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Remote Sensing
Subjects:
adaptive filtering
guidance information
point cloud
SLAM
forestry inventory
Online Access:https://www.mdpi.com/2072-4292/16/15/2714

Internet

https://www.mdpi.com/2072-4292/16/15/2714

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