首页> 外国专利> METHOD OF HEADLAND RECOGNITION USING 2-DIMENSIONAL LASER SENSORLIDAR AND ORCHARD ROBOT EMPLOYING THE SAME

METHOD OF HEADLAND RECOGNITION USING 2-DIMENSIONAL LASER SENSORLIDAR AND ORCHARD ROBOT EMPLOYING THE SAME

机译:基于二维激光传感器和果园机器人的岬角识别方法

摘要

Disclosed is a method for recognizing a bird head section using a laser sensor with improved accuracy, and an orphan robot device employing the same. The method of recognizing a bird head section using a laser sensor includes irradiating a laser radially, receiving a laser reflected from the targets, measuring a distance from the targets, clustering the targets, and clustering the targets, respectively. A step of corresponding to a fruit tree, calculating an average distance between fruit trees arranged in a fruit tree sequence arranged in the direction of progress of the fruit tree robot apparatus, and an average distance from the fruit tree nearest to the fruit tree robot apparatus in the direction of progress of the fruit tree robot apparatus. Determining whether there are n fruit trees that are continuously set at positions spaced apart from each other, and if the n fruit trees are continuously present in the fruit tree sequence, the driving is continued and the n fruit trees are not continuously present in the fruit tree sequence. If not, it includes the step of determining that it is the turning position after completing the driving to reach the last fruit tree.
机译:公开了一种使用具有提高的精度的激光传感器来识别鸟头部的方法,以及采用该方法的孤儿机器人装置。使用激光传感器识别鸟头部的方法包括:放射状地照射激光;接收从目标反射的激光;测量与目标的距离;将目标聚类;以及将目标聚类。对应于果树的步骤,计算沿果树机器人设备的前进方向排列的按果树顺序排列的果树之间的平均距离,以及距最接近果树机器人设备的果树的平均距离沿果树机器人设备前进的方向。确定是否存在连续设置在彼此间隔开的位置处的n个果树,并且如果在该果树序列中连续存在n个果树,则继续驱动并且在水果中不连续存在n个果树树序列。如果不是,则包括在完成到达最后一棵果树的驾驶之后确定其为转弯位置的步骤。

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