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枸杞采收机视觉辅助导航系统设计与实现

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枸杞果园环境复杂,光照、杂草等因素对视觉导航干扰严重,为实现枸杞采收机沿枸杞行垄走直线,该文根据2种典型枸杞种植环境的特征差异,研究2种精准视觉导航算法,使用模糊控制的策略结合QT开发了一款上位机软件,指导驾驶员对转向方向进行判断.试验结果表明,环境1中实际测量值与系统计算值平均误差为3.8 cm,最大值不超过12.1 cm;环境2为4.1 cm,最大值不超过8.6 cm,误差波动在可接受范围之内,可以满足实际需求.
Design and Implementation of Vision-assisted Navigation System for Lycium Barbarum Harvester
The environment of Lycium barbarum orchard is complex,and factors such as lighting and weeds seriously interfere with visual navigation.In order to meet the requirement that Lycium barbarum harvester can walk straight along medlar ridges,this paper studies two precise visual navigation algorithms based on the differences in characteristics of two typical Lycium barbarum planting environments.Using fuzzy control strategy combined with QT,an upper computer software is developed to guide drivers in judging the direction of turning.The experimental results show that the average error between the actual measured values and the system calculated values in Environment 1 is 3.8 cm,and the maximum value does not exceed 12.1 cm;Environment 2 is 4.1 cm,with a maximum value not exceeding 8.6 cm,and the error fluctuation is within an acceptable range,which can meet practical needs.

machine visionnavigationLycium barbarum harveste

马跃、张文强、常君瑞、牛宽、徐亭

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河套学院,内蒙古 巴彦淖尔 015000

中国农业大学工学院,北京 100083

机器视觉 导航 枸杞采收机

2024

现代农业装备
广东省农业机械研究所

现代农业装备

影响因子:0.17
ISSN:1673-2154
年,卷(期):2024.45(5)