摘要
文章研究了一种基于机器人双目视觉的机柜自动识别方法。文章详细介绍了双目立体视觉的基本原理,包括双目立体视觉的成像原理和目标识别的流程,重点研究了基于轻量化MobileNet的机柜识别方法并结合支持向量机对目标进行分类。实验结果表明,该方法有效地解决了背景与目标混叠的问题,能够准确地识别机柜点云。该方法为智能机器人在复杂环境中的应用提供了新的技术支持和理论依据。
In this paper,a method of automatic cabinet recognition based on robot binocular vision is studied.Firstly,the basic principle of binocular stereo vision is introduced in detail,including the imaging principle of binocular stereo vision and the process of object recognition.Then,we focus on the cabinet recognition method based on the lightweight MobileNet,and combine it with the support vector machine for object classification.The experimental results show that this method effectively solves the problem of background and target aliasing and can accurately identify cabinet point clouds.This method provides a new technical support and theoretical basis for the application of intelligent robot in complex environment.
作者
祁巧云
李莉
QI Qiaoyun;LI Li(Jinken College of Technology,Nanjing 211156,China)
出处
《无线互联科技》
2024年第21期36-39,共4页
Wireless Internet Science and Technology
作者简介
祁巧云(1977-),女,实验师,本科,研究方向:大数据技术,非线性控制机器人。
