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

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

doi:10.1109/SOCA.2018.00023

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	105-112
Number of pages	8
ISBN (Electronic)	9781538691335
DOIs	https://doi.org/10.1109/SOCA.2018.00023
State	Published - 02 01 2019
Externally published	Yes
Event	11th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2018 - Paris, France Duration: 20 11 2018 → 22 11 2018

Publication series

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

Conference

Conference	11th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2018
Country/Territory	France
City	Paris
Period	20/11/18 → 22/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

ArPico
ArUco
Autonomous navigation
Indoor
IoT
Localization
Optical based

Access to Document

10.1109/SOCA.2018.00023

Cite this

Meng, Y., Lin, K. J., Peng, B., Tsai, B., & Shih, C. S. (2019). ArPico: Using Pictures to Build Localization Service for Indoor IoT Applications. In Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018 (pp. 105-112). Article 8599586 (Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SOCA.2018.00023

Meng, Yu ; Lin, Kwei Jay ; Peng, Bingnan et al. / ArPico : Using Pictures to Build Localization Service for Indoor IoT Applications. Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 105-112 (Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018).

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title = "ArPico: Using Pictures to Build Localization Service for Indoor IoT Applications",

abstract = "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.",

keywords = "ArPico, ArUco, Autonomous navigation, Indoor, IoT, Localization, Optical based",

author = "Yu Meng and Lin, {Kwei Jay} and Bingnan Peng and Bolun Tsai and Shih, {Chih Sheng}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 11th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2018 ; Conference date: 20-11-2018 Through 22-11-2018",

year = "2019",

month = jan,

day = "2",

doi = "10.1109/SOCA.2018.00023",

language = "英语",

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

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Meng, Y, Lin, KJ, Peng, B, Tsai, B & Shih, CS 2019, ArPico: Using Pictures to Build Localization Service for Indoor IoT Applications. in Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018., 8599586, Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018, Institute of Electrical and Electronics Engineers Inc., pp. 105-112, 11th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2018, Paris, France, 20/11/18. https://doi.org/10.1109/SOCA.2018.00023

ArPico: Using Pictures to Build Localization Service for Indoor IoT Applications. / Meng, Yu; Lin, Kwei Jay; Peng, Bingnan et al.
Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 105-112 8599586 (Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lin, Kwei Jay

AU - Peng, Bingnan

AU - Tsai, Bolun

AU - Shih, Chih Sheng

PY - 2019/1/2

Y1 - 2019/1/2

N2 - 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.

AB - 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.

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ER -

Meng Y, Lin KJ, Peng B, Tsai B, Shih CS. ArPico: Using Pictures to Build Localization Service for Indoor IoT Applications. In Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 105-112. 8599586. (Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018). doi: 10.1109/SOCA.2018.00023

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

Abstract

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Bibliographical note

Keywords

Access to Document

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