ORB-SLAM based SLAM Framework for the Spatial Recognition using Android Oriented Tethered Type AR Glasses

안드로이드 기반 테더드 타입 AR 글래스의 공간 인식을 위한 ORB-SLAM 기반 SLAM프레임워크 설계

  • Do-hoon Kim (VR/AR Research Center, Korea Electronics Technology Institute) ;
  • Joongjin Kook (Dept. of Information Security Engineering, Sangmyung University )
  • 김도훈 (한국전자기술연구원 VR/AR 연구센터) ;
  • 국중진 (상명대학교 정보보안공학과)
  • Received : 2023.01.26
  • Accepted : 2023.03.20
  • Published : 2023.03.31

Abstract

In this paper, we proposed a software framework structure to apply ORB-SLAM, the most representative of SLAM algorithms, so that map creation and location estimation technology can be applied through tethered AR glasses. Since tethered AR glasses perform only the role of an input/output device, the processing of camera and sensor data and the generation of images to be displayed through the optical display module must be performed through the host. At this time, an Android-based mobile device is adopted as the host. Therefore, the major libraries required for the implementation of AR contents for AR glasses were hierarchically organized, and spatial recognition and location estimation functions using SLAM were verified.

Keywords

Acknowledgement

이 연구는 2023년도 산업통상자원부 및 산업기술평가관리원(KEIT) 연구비 지원에 의한 연구임('20016882').

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