download0 view25
twitter facebook

공공누리This item is licensed Korea Open Government License

Title
현실 환경에서 증강현실과 딥러닝을 활용한 M&S 모델 증강가시화
Author(s)
김민석이재열김재성김명일서동우김호윤
Publisher
한국CDE학회
Publication Year
2019-05-08
Abstract
This paper proposes a new method to effectively visualize modeling & simulation (M&S) results in a real environment using augmented reality (AR) and deep learning. The proposed approach makes it possible to dynamically generate an M&S analysis space of the real environment, to recognize real objects by using a deep learning technique, and to place the analyzed M&S results onto them. In order to construct an M&S space dynamically, we perform area learning on the real space using a smart device supporting RGB-D camera. In addition, real objects are recognized through deep learning-based object detection. Spatial mapping and user interaction are conducted to match the recognized real object with corresponding M&S model in the mobile AR environment. A proof-of-concept system was developed to show the advantage and feasibility of the proposed method. Therefore, the proposed approach can be used for seamlessly integrating M&S models into various real spaces and for reviewing M&S results more consistently and effectively.
Keyword
모델링 시뮬레이션; 증강현실딥러닝; 가시화 증강; Modeling Simulation; Augmented reality; Deep learning; Visual augmentation
Journal Title
한국CDE학회논문집;
Citation Volume
24
ISSN
2508-4003
DOI
10.7315/cde.2019.180
Files in This Item:
There are no files associated with this item.
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/16481
Fulltext
 https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=NART107529655
Export
RIS (EndNote)
XLS (Excel)
XML

Browse