IMU-integrated Optical Navigation System for Tracking Multi-agent

Seongwon Yoon, Junwoo Jason Son, Soohee Han
{"title":"IMU-integrated Optical Navigation System for Tracking Multi-agent","authors":"Seongwon Yoon, Junwoo Jason Son, Soohee Han","doi":"10.23919/ICCAS52745.2021.9650033","DOIUrl":null,"url":null,"abstract":"In this paper, an IMU-integrated optical navigation system is presented. In the existing motion capture system, it was necessary to use the geometry of the recognized multiple markers to obtain the attitude of the object. On the other hand, in the proposed system, with only a small number of cameras, real-time output of 6-DOF including position and attitude was enabled by compactly implementing a single infrared marker with embedded IMU and computing board as an agent module. As a result of the development, it was possible to dramatically improve the problem of the existing rigid body-based attitude estimation method in which the attitude estimation error changes according to the distance from the cameras. In addition, according to the wireless time synchronization implementation of the camera and the agent, unique identification and tracking for each of the multiple agents operating in the same system was enabled. Therefore, this system is expected to have a very high potential for use in factory automation (FA) and robotics. In this paper, the principle of this system and each system component are explained.","PeriodicalId":411064,"journal":{"name":"2021 21st International Conference on Control, Automation and Systems (ICCAS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 21st International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS52745.2021.9650033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, an IMU-integrated optical navigation system is presented. In the existing motion capture system, it was necessary to use the geometry of the recognized multiple markers to obtain the attitude of the object. On the other hand, in the proposed system, with only a small number of cameras, real-time output of 6-DOF including position and attitude was enabled by compactly implementing a single infrared marker with embedded IMU and computing board as an agent module. As a result of the development, it was possible to dramatically improve the problem of the existing rigid body-based attitude estimation method in which the attitude estimation error changes according to the distance from the cameras. In addition, according to the wireless time synchronization implementation of the camera and the agent, unique identification and tracking for each of the multiple agents operating in the same system was enabled. Therefore, this system is expected to have a very high potential for use in factory automation (FA) and robotics. In this paper, the principle of this system and each system component are explained.
集成imu的多智能体跟踪光学导航系统
本文介绍了一种imu组合光学导航系统。在现有的运动捕捉系统中,需要利用识别的多个标记的几何形状来获得目标的姿态。另一方面,在该系统中,在摄像机数量较少的情况下,通过紧凑地实现单个红外标记,以嵌入式IMU和计算板作为代理模块,实现了包括位置和姿态在内的6自由度实时输出。该方法极大地改善了现有基于刚体的姿态估计方法中姿态估计误差随与摄像机的距离而变化的问题。此外,根据相机和代理的无线时间同步实现,使在同一系统中运行的多个代理中的每一个都能够进行唯一的识别和跟踪。因此,该系统有望在工厂自动化(FA)和机器人技术中具有很高的应用潜力。本文阐述了该系统的工作原理和系统的各个组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信