Estimation of Relative Position of Drone using Fixed Size QR Code

Tae Won Kang, Yong Sik Choi, Jin Woo Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Inventory management is very important in any industry. In the past, people were directly involved in inventory management. However, this method is time consuming and requires a lot of labor. Therefore, in recent years, inventory management methods using drones are increasing. In this paper, we introduce an inventory management system using RFID and QR code, and a method of estimating the relative position of a drone based on the QR code, which is essential in the system. As a result of the experiment, when the center point of the QR code and the center point of the camera coincide, the error rate was very small, 0-1%. When the center points do not coincide, an error rate of up to 4% occurred.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-447
Number of pages6
ISBN (Electronic)9781665452588
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Prague, Czech Republic
Duration: 9 Oct 202212 Oct 2022

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2022-October
ISSN (Print)1062-922X

Conference

Conference2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
Country/TerritoryCzech Republic
CityPrague
Period9/10/2212/10/22

Keywords

  • drone
  • inventory management
  • QR code
  • relative position estimation

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