A Study on Collaborative Support for 3D City Models using Mixed Reality (혼합현실을 이용한 3D 도시모델 협업 지원에 관한 연구)

KIM KWANG SOO (김광수); Yoonseop Chang (장윤섭); Eunji Cho (조은지); Sangheon Shin (신상헌); In Sung Jang (장인성)

doi:10.29056/jsav.2022.12.21

A Study on Collaborative Support for 3D City Models using Mixed Reality

Journal of Software Assessment and Valuation
Abbr : JSAV
2022, 18(2), pp.209-219
DOI : 10.29056/jsav.2022.12.21
Publisher : Korea Software Assessment and Valuation Society
Research Area : Engineering > Computer Science
Received : December 12, 2022
Accepted : December 20, 2022
Published : December 31, 2022

KIM KWANG SOO ¹, Yoonseop Chang ¹, Eunji Cho ², Sangheon Shin ², In Sung Jang ¹

¹한국전자통신연구원
²한화시스템

Accredited

ABSTRACT

In this paper, we describe the development of collaborative functions required when multiple users perform common tasks by utilizing a 3D city model by applying mixed reality technology to spatial information, which is one of the technologies that implements the metaverse. The 3D city model is visualized by converging virtual buildings and roads on real physical objects using mixed reality technology, and is used for city planning through interaction between users and virtual objects. In the past, it was mainly applied to the same space and a single user, but in this study, we developed a technology that provides an environment in which remote users in different spaces or multiple users in the same space can work together. Viewpoints are exchanged for collaboration between remote and multi-users, and users are expressed as avatars for mutual identification. The developed technology operated without performance degradation even for 6 simultaneous users.

KEYWORDS

city model, three dimension, mixed reality, multiple users, avatar, collaboration

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* References for papers published after 2023 are currently being built.

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Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

A Study on Collaborative Support for 3D City Models using Mixed Reality

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

A Study on Collaborative Support for 3D City Models using Mixed Reality

ABSTRACT

KEYWORDS

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REFERENCES (14) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.