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Design of an Autonomous Orchard Navigation System Based on Multi-Sensor Fusion

文献类型： 外文期刊

作者： Su, Zhengquan 1 ; Zou, Wei 2 ; Zhai, Changyuan 1 ; Tan, Haoran 2 ; Yang, Shuo 3 ; Qin, Xiangyang 3 ;

作者机构： 1.Guangxi Univ, Coll Mech Engn, Nanning 530004, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Intelligent Equipment Res Ctr, Beijing 100097, Peoples R China

3.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing 100097, Peoples R China

4.Beijing PAIDE Sci & Technol Dev Co Ltd, Beijing 100097, Peoples R China

关键词： orchard navigation; 2D LiDAR; electronic compass; multi-sensor fusion; motion control

期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）

ISSN：

年卷期： 2024 年 14 卷 12 期

页码：

收录情况： SCI

摘要： To address the limitations of traditional GNSS-based navigation systems in orchard environments, we propose a multi-sensor fusion-based autonomous navigation method for orchards. A crawler-type agricultural platform was used as a test vehicle, and an autonomous orchard navigation system was constructed using a 2D LiDAR, a dynamic electronic compass, and an encoder. The proposed system first filters LiDAR point cloud data and uses the DBSCAN-ratio-threshold method to process data and identify clusters of tree trunks. By matching the center coordinates of trunk clusters with a fruit tree distribution map, the platform's positional measurements are determined. An extended Kalman filter fusion algorithm is then employed to obtain a posterior estimate of the platform's position and pose. Experimental results demonstrate that in localization accuracy tests and navigation tests, the proposed system provides high navigation accuracy and robustness, making it suitable for autonomous walking operations in orchard environments.

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