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학술대회 Movable Dynamic Data Detection and Visualization for Digital Twin City
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저자
이아현, 김주완, 장인성
발행일
202011
출처
International Conference on Consumer Electronics (ICCE) 2020 : Asia, pp.230-231
DOI
https://dx.doi.org/10.1109/ICCE-Asia49877.2020.9277250
협약과제
20ZR1200, DNA 기반 국가 지능화 핵심기술 개발, 이인환
초록
A digital twin city can simulate urban phenomena or designs based on the digital model similar to a real city. To build a digital twin model of a city, it requires static data such as terrain, buildings, roads and dynamic data such as weather, temperature, humidity. The moving objects such as vehicles, pedestrians can be reproduced with the movable dynamic data which has 3D position, direction and time. In this paper, we propose a platform which has movable dynamic data detection, reconstruction, and visualization steps. The proposed platform can visualize the past urban appearance and road situations in 3D model at the time and space desired by the user.
키워드
digital twin, GIS
KSP 제안 키워드
3d model, Data Detection, Digital Twin, Moving Object, Time and space, digital model, dynamic data, static data