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DETERMINING THE 3-D LOCATION OF THE APPLE FRUIT DURING HARVEST

机译:在收获期间确定苹果果实的3-D位置

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The objective of this research is to develop an apple harvesting robot. One of the engineering challenges is the real-time determination of the 3-D location of the fruit. In this paper, the development of a sensor to determine the 3-D location of Fuji apples is discussed. Two methods were considered in determining the 3-D location of the fruit: machine vision system and laser ranging system. Both of these systems would be mounted on the end effector. The machine vision system consisted of the color CCD video camera and the PC for the image processing. The distance from end effector to fruit can be determined using machine vision only, the differential object size method and the binocular stereo image method. However, the laser ranging system was considered because distance measurement using machine vision only is computationally expensive and time consuming. In the laser ranging system, this system needs the aid of the machine vision system to locate the two-dimensional location of the fruit. Then the laser ranging system determines the distance from the end effector to the fruit. The result obtained from this measurement system will be used as input to guide the motion of the manipulator.
机译:这项研究的目的是开发一个苹果收获机器人。其中一个工程挑战是实时确定水果的3D位置。在本文中,讨论了传感器的开发,以确定富士苹果的3-D位置。考虑了在确定水果的3-D位置时,考虑了两种方法:机器视觉系统和激光测距系统。这两个系统都将安装在末端执行器上。机器视觉系统由CCD摄像机和用于图像处理的PC组成。可以使用机器视觉,差分对象尺寸方法和双目立体图像方法来确定从末端执行器到果实的距离。然而,考虑激光测距系统,因为使用机器视觉的距离测量仅是计算昂贵且耗时的。在激光测距系统中,该系统需要借助机器视觉系统来定位果实的二维位置。然后激光测距系统确定从末端执行器到果实的距离。从该测量系统获得的结果将用作输入以引导操纵器的运动。

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