AI 기반 군집드론에 AR을 활용한 피아식별 연구

김승우¹^{, *} ; 최대선²

1해병대사령부 전투모의분석센터 M&S발전담당 사무관/숭실대학교대학원 소프트웨어학과 박사과정
2숭실대학교 소프트웨어학과 교수

The Identification Friend or Foe by Using Augmented Reality of AI-based Swarm Drone

Seung-Woo Kim¹^{, *} ; Dae-Seon Choi²

1M&S development manager, Battle Simulation & Analysis Center, ROK Marine/Dept. of Software Doctorate Program, Soongsil University
2Professor, Dept. of Software, Soongsil University

Correspondence to: ^*Dae-Seon Choi Tel: +82-2-820-0943 E-mail: sunchoi@ssu.ac.kr

초록

본 논문에서는 군집 드론을 이용한 새로운 활용을 통해 군집 드론 운용 기술의 발전이 기대된다. 국방혁신 4.0에 따른 유무인 복합체계에 군집드론을 활용한 기술을 제안하고, AR(augmented reality)을 활용한 적군 및 아군식별 기법을 제시한다. 이 기법은 전장에서 드론이 효과적으로 적군을 식별할 수 있는 피아식별법 중 하나로, 드론에 장착된 카메라만을 이용하여 적군을 식별할 수 있다.

Abstract

In this paper, the development of swarm drone operation technology is expected through new applications using swarm drones. We propose a technology using swarm drones for manned and unmanned complex systems in accordance with Defense Innovation 4.0, and a technique for identifying enemies and allies using AR (augmented reality) is presented. This technique is one of the PIA identification methods that allows drones to effectively identify enemy soldiers on the battlefield, and it can identify enemy soldiers using only the camera mounted on the drone.

Keywords:

Swarm Drone, Augmented Reality, Identification Friend or Foe, Artificial intelligence

키워드:

군집 드론, 증강현실, 피아식별, 인공지능

Acknowledgments

이 논문은 2024년도 한국해군과학기술학회 하계학술대회 발표 논문임

References

Chosun Ilbo. China’s Commercial Drones Became Weapons of Attack on Ukraine. [Internet]. Available: https://www.chosun.com/politics/politics_general/2022/06/12/M2JVYV5QB5BGHO6Z2ZL3LYLOUE/?utm_source=naver&utm_medium=referral&utm_campaign=naver-news, .
W. H. Huh, E. J. Koo, E. Y. Cha, “IFF Technique Using the Color of Military Uniform,” Proceedings of the Korea Computer Information Society Winter Conference, Vol. 21 No. 1 2013.
Electronic Times. Pyongyang Summit, Drones that Appeared in Collective Gymnastics, Equipped with Basic North Korean ICT skills. [Internet]. Available: https://www.etnews.com/20180920000322, .
B. Kim, K. S. Kim, “A Study on Military Utilization of Swarm Drones,” Defense and Technology 2021.
Gyeongin Daily. A Group Flight of 100 Drones at the Korea Aerospace Research Institute's Independence Hall. [Internet]. Available: http://www.kyeongin.com/main/view.php?key=20190225010007886, .
DJI. Tello EDU. [Internet]. Available: https://www.dji.com/kr, .
Ryze Tech, Tello EDU SDK 2.0 User Guide. [Internet]. Available: https://dl-cdn.ryzerobotics.com/downloads/Tello/Tello%20SDK%202.0%20User%20Guide.pdf, .
H. J. Kim, T. H. Kim, H. H. Woo, B. Y. Buyuk, I. S. Seo, Tello Edu TT Drone Coding A to Z, 3th ed. Gumi Library, 2022.