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基于多源信息融合的果园移动机器人自主导航系统研究进展

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水果产业是我国农业农村重要的经济支柱之一,当前果园生产管理水平、特别是机械化、信息化水平相对落后.基于多源信息融合的果园移动机器人可实现复杂环境下稳定、高精度的自主导航,为果园移动平台提供了智能、高效的自主导航手段,有力支撑了智慧果园的建设.分析基于多源信息融合的果园移动机器人自主导航系统研究现状,指出研究的关键问题,提出了结合果园实际复杂、多样工况的环境,围绕定位与建图、路径规划与决策控制策略等关键技术,通过多源传感器信息融合策略,实现复杂环境下的自主导航的研究方案.
Research Progress of Autonomous Navigation System for Orchard Mobile Robot Based on Multi-source Information Fusion
Fruit industry is one of the important economic pillars of China's agriculture and rural areas.The current orchard production man-agement level,especially the mechanization and information level,is relatively backward.Orchard mobile robot based on multi-source informa-tion fusion can realize stable and high-precision autonomous navigation in complex environment,provide intelligent and efficient autonomous navigation means for orchard mobile platform,and strongly support the construction of smart orchard.By analyzing the research progress of or-chard mobile robot autonomous navigation system based on multi-source information fusion,this paper proposes to combine the actual complex and diverse working conditions of orchard,focus on key technologies such as positioning and mapping,path planning and decision control strate-gy,and based on the existing mobile platform,study the multi-source sensor information fusion strategy to achieve autonomous navigation in complex environment.The performance of the autonomous navigation system is verified by field tests.

OrchardMobile robotMulti-source information fusionAutonomous navigationSLAM

李小明、冯青春

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北京农业职业学院,北京 102208

北京市农林科学院智能装备技术研究中心,北京 100097

果园 移动机器人 多源信息融合 自主导航 SLAM

2024

安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
年,卷(期):2024.52(17)