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摘要:
In this paper,we present an RFID based human and Unmanned Aerial Vehicle(UAV)Interaction system,termed RFHUI,to provide an intuitive and easy-to-operate method to navigate a UAV in an indoor environment.It relies on the passive Radio-Frequency IDentification(RFID)technology to precisely track the pose of a handheld controller,and then transfer the pose information to navigate the UAV.A prototype of the handheld controller is created by attaching three or more Ultra High Frequency(UHF)RFID tags to a board.A Commercial Off-The-Shelf(COTS)RFID reader with multiple antennas is deployed to collect the observations of the tags.First,the precise positions of all the tags can be obtained by our proposed method,which leverages a Bayesian filter and Channel State Information(CSI)phase measurements collected from the RFID reader.Second,we introduce a Singular Value Decomposition(SVD)based approach to obtain a 6-DoF(Degrees of Freedom)pose of the controller from estimated positions of the tags.Furthermore,the pose of the controller can be precisely tracked in a real-time manner,while the user moves the controller.Finally,control commands will be generated from the controller's pose and sent to the UAV for navigation.The performance of the RFHUI is evaluated by several experiments.The results show that it provides precise poses with 0.045m mean error in position and 2.5°mean error in orientation for the controller,and enables the controller to precisely and intuitively navigate the UAV in an indoor environment.
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篇名 RFHUI:an RFID based human-unmanned aerial vehicle interaction system in an indoor environment
来源期刊 数字通信与网络:英文版 学科 工学
关键词 RADIO-FREQUENCY Identification(RFID) HUMAN Computer Interaction(HCI) Unmanned AERIAL Vehicle(UAV) Singular Value Decomposition(SVD) Localization Navigation
年,卷(期) 2020,(1) 所属期刊栏目
研究方向 页码范围 14-22
页数 9页 分类号 TP3
字数 语种
DOI
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研究主题发展历程
节点文献
RADIO-FREQUENCY
Identification(RFID)
HUMAN
Computer
Interaction(HCI)
Unmanned
AERIAL
Vehicle(UAV)
Singular
Value
Decomposition(SVD)
Localization
Navigation
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
数字通信与网络:英文版
季刊
2468-5925
50-1212/TN
重庆南岸区崇文路2号重庆邮电大学数字通信
78-45
出版文献量(篇)
11481
总下载数(次)
2
总被引数(次)
0
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