农机使用与维修Issue(6)：19-22,4.DOI:10.14031/j.cnki.njwx.2026.06.005
基于计算机视觉与多传感融合的农业机械自动导航方法研究
Research on automated navigation methods for agricultural machinery based on computer vision and multi-sensor fusion
摘要
Abstract
To solve the problems of low navigation accuracy,unstable path tracking,and insufficient environmental per-ception ability of traditional agricultural machinery in unstructured farmland environments,this paper constructs an auto-matic navigation system for agricultural machinery based on computer vision,and combines multi-source sensing infor-mation(IMU,GPS,LiDAR data)to achieve visual recognition of work paths,inter row boundaries,and obstacles through image preprocessing,object detection,and feature extraction.Based on fuzzy PID and model predictive control(MPC)strategies,the steering angle and driving speed are dynamically adjusted to minimize path deviation and improve operational stability.关键词
计算机视觉/农业机械/自动导航/图像识别/智能农业Key words
computer vision/agricultural machinery/autonomous navigation/image recognition/smart agriculture分类
农业科技引用本文复制引用
乔丹..基于计算机视觉与多传感融合的农业机械自动导航方法研究[J].农机使用与维修,2026,(6):19-22,4.基金项目
第六期江苏省职业教育教学改革研究课题(ZDZC418) （ZDZC418）
