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基于机器人操作系统的机器人自主追踪系统设计
引用本文:张军,刘先禄,张宇山.基于机器人操作系统的机器人自主追踪系统设计[J].科学技术与工程,2021,21(28):12158-12165.
作者姓名:张军  刘先禄  张宇山
作者单位:安徽理工大学人工智能学院,安徽理工大学机械工程学院
基金项目:国家创新方法工作专项(2018IM010500);安徽省科技厅重点研究与开发计划面上攻关项目(201904a05020004)
摘    要:为了解决移动机器人在机器人操作系统(robot operating system, ROS)中的人脸追踪问题,提出一种基于Siamese目标跟踪算法开发的追踪系统。首先,开发了追踪系统的硬件平台;其次,开发了Siamese跟踪算法,实现了对人脸目标的实时跟踪;最后,实现了导航系统与视觉系统的开发及融合,并通过实时记录的追踪数据与追踪曲线,分析了该系统的追踪性能。实验结果表明:该系统能够在ROS系统下实现对人脸目标的实时跟踪。

关 键 词:人脸跟踪  ROS  追踪系统  Siamese跟踪算法  实时跟踪
收稿时间:2021/3/9 0:00:00
修稿时间:2021/7/14 0:00:00

Design of Robot Autonomous Tracking System Based on ROS
Zhang Jun,Liu Xianlu,Zhang Yushan.Design of Robot Autonomous Tracking System Based on ROS[J].Science Technology and Engineering,2021,21(28):12158-12165.
Authors:Zhang Jun  Liu Xianlu  Zhang Yushan
Institution:College of Artificial Intelligence, Anhui University of Science and Technology, College of Mechanical Engineering, Anhui University of Science and Technology
Abstract:In order to solve the face tracking problem of mobile robot in ROS system, a tracking system based on Siamese target tracking algorithm was presented. Firstly, the hardware platform of the tracking system was developed. Secondly, Siamese tracking algorithm was developed to realize real-time face tracking. Finally, the development and integration of navigation system and vision system were realized. The tracking performance of the system was analyzed by real-time recorded tracking data and tracking curve. Experimental results showed that the system could realize real-time face tracking in ROS system.
Keywords:Face tracking    ROS    Tracking system    Siamese tracking algorithm    Real time tracking
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