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Lidar based vineyard path identification approach to plant protection robot autonomous driving

机译:基于激光雷达的葡萄园路径识别方法在植物保护机器人自主驾驶中的应用

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The problem of heavy load and low efficiency of manual work in the vineyard environment needs to be solved. The identification of the center line between the ridge lines is the key to realize the technologies of the vineyard self-propelled plant protection robot. A method for identifying the center line of vineyard ridges based on two-dimensional lidar is proposed. Firstly, the moving average filter is designed to complete the filtering and denoising of the original data. Then, a model of iterative search peaks for ridge row classification is constructed. Finally, the minimum variance method and the inner angle bisector theorem are used to complete the fitting of the ridge line and the extraction of the center navigation line. Through the analysis of experimental results and data, it has the characteristics of high precision and strong robustness, which can meet the requirements of practical applications.
机译:需要解决葡萄园环境中繁重的工作以及手工工作效率低下的问题。识别山脊线之间的中心线是实现葡萄园自走式植保机器人技术的关键。提出了一种基于二维激光雷达识别葡萄园山脊中心线的方法。首先,移动平均滤波器被设计为完成原始数据的滤波和去噪。然后,建立了用于山脊行分类的迭代搜索峰模型。最后,利用最小方差法和内角平分线定理完成了脊线的拟合和中心导航线的提取。通过对实验结果和数据的分析,具有精度高,鲁棒性强的特点,可以满足实际应用的要求。

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