基于手眼系统的植物识别与伺服控制系统研究
首发时间:2016-05-31
摘要:传感技术是实现精细农业的基础,机器视觉作为潜在的、低故障、低风险、非接触式测量技术在数字化农业中得到广泛应用。本文提出了一种基于视点移动的植物三维信息检测和一种直接基于图像特征的摄像机相对于目标物的视觉伺服定位控制策略。采用两相步进电机驱动的电动平移台和直流电机驱动的电动缸构建了一个直角坐标机器人系统,基于摄像头沿光轴方向移动的目标与摄像头深度信息检测方法设计了视觉伺服控制策略。以绿色作物为试验对象实现了垂直方向(Z方向)视觉伺服定位控制功能。
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Study on Plant Object Recognition and Servo Control Based on Hand-eye System
Abstract:Sensing technology is the basis of precision agriculture. Machine vision is a potential, low failure, low risk and contactless measuring technology, which makes it suitable for being applied to agricultural circumstances. A method of the plants' three-dimensional information detecting based on the translation of the camera was proposed, as well as a visual servo positioning control strategy directly based on the image features between the camera and the target. A Cartesian robot system was set up with two electric translation platforms driver by two-phase stepper motor and an electric cylinder driver by DC motor. A visual servo positioning control strategy was designed, based on the depth information measurement method between target and the camera when the camera was moving along the optical axis. The function of visual servo positioning control in vertical direction was realized by using the green crops as the test object.
Keywords: Agricultural Robot Visual Servo Motion Control
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