ArPico: Using Pictures to Build Localization Service for Indoor IoT Applications

Yu Meng, Kwei Jay Lin, Bingnan Peng, Bolun Tsai, Chih Sheng Shih

研究成果: 圖書/報告稿件的類型會議稿件同行評審

5 引文 斯高帕斯(Scopus)

摘要

Service-oriented Internet-of-Things (IoT) systems are being deployed to provide intelligent, personal indoor services that must be location-and context-aware. In this paper, we present an efficient localization technology that uses a single camera to inspect framed pictures in the surrounding environment to quickly identify the device's location. Our idea is motivated by the popular ArUco markers. By using simple transformation algorithms, our technology converts framed pictures into ArUco markers and then identifies their marker ID's and poses. We have used the technology to deploy indoor drones so that each drone can be location-aware. The drone camera also streams video frames back to edge servers for human face recognition in order to identify the locations of known individuals. We believe our work of using artistic pictures as location markers can offer an attractive and low-cost localization services for many smart indoor IoT applications.

原文英語
主出版物標題Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面105-112
頁數8
ISBN(電子)9781538691335
DOIs
出版狀態已出版 - 02 01 2019
對外發佈
事件11th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2018 - Paris, 法國
持續時間: 20 11 201822 11 2018

出版系列

名字Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018

Conference

Conference11th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2018
國家/地區法國
城市Paris
期間20/11/1822/11/18

文獻附註

Publisher Copyright:
© 2018 IEEE.

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