Detailed Information

Cited 6 time in webofscience Cited 6 time in scopus
Metadata Downloads

AR-based 4D CAD system using marker and markerless recognition methodopen access

Authors
Kim, Hyeoun-SeongSangmi-ParkSunju-HanKang, Leen-Seok
Issue Date
2017
Publisher
ELSEVIER SCIENCE BV
Keywords
Augmented reality (AR); BIM; 4D CAD; Marker; Markerless
Citation
CREATIVE CONSTRUCTION CONFERENCE 2017, CCC 2017, v.196, pp 29 - 35
Pages
7
Indexed
SCOPUS
Journal Title
CREATIVE CONSTRUCTION CONFERENCE 2017, CCC 2017
Volume
196
Start Page
29
End Page
35
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/15022
DOI
10.1016/j.proeng.2017.07.169
ISSN
1877-7058
Abstract
Requests for three-dimensional (3D) designs have increased in recent construction projects as the shapes of structures have become more complicated and the difficulties involved in designing buildings have increased. However, most site engineers still prefer two-dimensional (2D) drawings. The main reason for this preference is the difference in reality and operation from the information provided in a 3D presentation. To rectify this mismatch, this study proposed and implemented an augmented reality-based drawing verification system. The proposed system utilizes both marker and markerless recognition methods for efficient operation. Further, a suitable marker generation method is proposed for each recognition method. The results obtained during actual operation of the implemented system verify the efficacy of both the proposed system and the recognition modes. The ARbased drawings verification system suggested in the study can improve the understanding of drawings and it will be more useful for railway construction which is composed of a combination of heterogeneous drawings such as earthwork, track work and electrical work. (C) 2017 Published by Elsevier Ltd.
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > Department of Civil Engineering > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kang, Leen Seok photo

Kang, Leen Seok
공과대학 (토목공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE