基于图像的视觉伺服控制系统在智能警卫中的应用

Li Li, Binhai Wang, Beidou Li, Peng Xiao, Wanguo Wang, Yibin Li
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引用次数: 4

摘要

基于移动变电站巡检机器人SmartGuard,提出了一种基于图像的视觉伺服控制系统,使摄像机具有平移和倾斜的特点,能够精确地捕捉到需要巡检的变电站设备。视觉控制系统包括图像采集系统、平移倾斜控制系统和嵌入式伺服控制系统。该方法首先利用SURF局部特征取新采集图像与模板图像的偏移量,该特征对光照、尺度和旋转不改变;在不标定平移、倾斜和视觉系统的情况下,基于测试运动计算雅可比矩阵。然后进行伺服,直到图像特征达到目标图像。SmartGuard采用基于图像的视觉系统,可以避免平移和倾斜系统的运动误差和重复误差的影响,为自动光学检测系统准确地获取动力设备的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The application of image based visual servo control system for smart guard
Based on SmartGuard, a mobile robot for substation inspection, we propose an image based visual servo control system to precisely make the cameras with the pan & tilt to capture the substation equipment we expected to inspect. The vision control system contents of an image acquisition system, a pan & tilt and an embedded servo control system. The proposed approach firstly uses SURF local feature to take the offset of the new acquired image and the template image, which is invariant to light, scale and rotation. Without the calibration of the pan & tilt and the vision system, we calculate the Jacobian matrix based on the test movement. Then we take the servo until the image feature reach to the object image. Using this image based vision system, SmartGuard can avoid the effect of the motion error and the repeating errors of pan & tilt system, and take the precisely image of the power equipments for automatic optical inspection system.
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