Neural Network-Based SLAM/GNSS Fusion Localization Algorithm for Agricultural Robots in Orchard GNSS-Degraded or Denied Environments

Neural Network-Based SLAM/GNSS Fusion Localization Algorithm for Agricultural Robots in Orchard GNSS-Degraded or Denied Environments

To address the issue of agricultural robot loss of control caused by GNSS signal degradation or loss in complex agricultural environments such as farmland and orchards, this study proposes a neural network-based SLAM/GNSS fusion localization algorithm aiming to enhance the robot’s localization accur...

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Bibliographic Details
Main Authors: Huixiang Zhou, Jingting Wang, Yuqi Chen, Lian Hu, Zihao Li, Fuming Xie, Jie He, Pei Wang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agriculture
Subjects:
agricultural robots
GNSS-degraded or denied environments
fusion localization
neural networks
Online Access:https://www.mdpi.com/2077-0472/15/15/1612
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https://www.mdpi.com/2077-0472/15/15/1612

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