earticle

논문검색

Session Ⅴ : Artificial Intelligence

Case Studies on Augmented Reality (AR)-Enabled Indoor Localization Technologies and Services

원문정보

Dae-ha Yoo, Haichuan Chen, Gaoyang Shan, Byeong-hee Roh

한국차세대컴퓨팅학회 한국차세대컴퓨팅학회 학술대회 The 8th International Conference on Next Generation Computing 2022 2022.10 pp.145-146
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

The individual markets for indoor localization service (ILS) and augmented reality (AR) are expected to grow significantly. These combined services will be very diverse, and the market is expected to grow significantly. This paper presents representative technologies supporting ILS based on wireless communications and computer visions. Then, AR-enabled ILS cases are also presented.

목차

Abstract
I. INTRODUCTION
II. INDOOR LOCALIZATION TECHNOLOGIES
A. Indoor Localization Using Wireless Communications Technologies
B. Image-based Indoor Localization Technologies
III. AR-ENABLED INDOOR LOCALIZATION SERVICES
A. AR-enabled ILSs with Wireless Communication Technology-based Localization
B. AR-enabled ILSs with Image-based Localization
IV. CONCLUSION
REFERENCES

키워드

저자정보

  • Dae-ha Yoo Dept. of AI Convergence Network Ajou University Suwon, 16499, South Korea
  • Haichuan Chen Dept. of AI Convergence Network Ajou University Suwon, 16499, South Korea
  • Gaoyang Shan Dept. of Software and Computer Eng. Ajou University Suwon, 16499, South Korea
  • Byeong-hee Roh Dept. of AI Convergence Network and Dept. of Computer Engineering Ajou University Suwon, 16499, South Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      0개의 논문이 장바구니에 담겼습니다.