Virtual 3D campus for Universiti Teknologi Malaysia (UTM)
University campuses consists of many buildings within a large area managed by a single organization. Like 3D city modeling, a 3D model of campuses can be utilized to provide a better foundation for planning, navigation and management of buildings. This study approaches 3D modeling of the UTM campus...
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MDPI AG
2021
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オンライン・アクセス: | http://eprints.utm.my/id/eprint/96307/1/UznirUjang2021_Virtual3DCampusforUniversitiTeknologiMalaysia.pdf http://eprints.utm.my/id/eprint/96307/ http://dx.doi.org/10.3390/ijgi10060356 |
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my.utm.963072022-07-17T06:45:35Z http://eprints.utm.my/id/eprint/96307/ Virtual 3D campus for Universiti Teknologi Malaysia (UTM) Salleh, Syahiirah Ujang, Uznir Azri, Suhaibah H Social Sciences (General) University campuses consists of many buildings within a large area managed by a single organization. Like 3D city modeling, a 3D model of campuses can be utilized to provide a better foundation for planning, navigation and management of buildings. This study approaches 3D modeling of the UTM campus by utilizing data from aerial photos and site observations. The 3D models of buildings were drawn from building footprints in SketchUp and converted to CityGML using FME software. The CityGML models were imported into a geodatabase using 3DCityDB and visualized in Cesium. The resulting 3D model of buildings was in CityGML format level of detail 2, consisting of ground, wall and roof surfaces. The 3D models were positioned with real-world coordinates using the geolocation function in SketchUp. The non-spatial attributes of the 3D models were also stored in a database managed by PostgreSQL. While the methodology demonstrated in this study was found to be able to create LoD2 building models. However, issues of accuracy arose in terms of building details and positioning. Therefore, higher accuracy data, such as point cloud data, should produce higher LoD models and accurate positioning. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). MDPI AG 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/96307/1/UznirUjang2021_Virtual3DCampusforUniversitiTeknologiMalaysia.pdf Salleh, Syahiirah and Ujang, Uznir and Azri, Suhaibah (2021) Virtual 3D campus for Universiti Teknologi Malaysia (UTM). ISPRS International Journal of Geo-Information, 10 (6). p. 356. ISSN 2220-9964 http://dx.doi.org/10.3390/ijgi10060356 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
language |
English |
topic |
H Social Sciences (General) |
spellingShingle |
H Social Sciences (General) Salleh, Syahiirah Ujang, Uznir Azri, Suhaibah Virtual 3D campus for Universiti Teknologi Malaysia (UTM) |
description |
University campuses consists of many buildings within a large area managed by a single organization. Like 3D city modeling, a 3D model of campuses can be utilized to provide a better foundation for planning, navigation and management of buildings. This study approaches 3D modeling of the UTM campus by utilizing data from aerial photos and site observations. The 3D models of buildings were drawn from building footprints in SketchUp and converted to CityGML using FME software. The CityGML models were imported into a geodatabase using 3DCityDB and visualized in Cesium. The resulting 3D model of buildings was in CityGML format level of detail 2, consisting of ground, wall and roof surfaces. The 3D models were positioned with real-world coordinates using the geolocation function in SketchUp. The non-spatial attributes of the 3D models were also stored in a database managed by PostgreSQL. While the methodology demonstrated in this study was found to be able to create LoD2 building models. However, issues of accuracy arose in terms of building details and positioning. Therefore, higher accuracy data, such as point cloud data, should produce higher LoD models and accurate positioning. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
format |
Article |
author |
Salleh, Syahiirah Ujang, Uznir Azri, Suhaibah |
author_facet |
Salleh, Syahiirah Ujang, Uznir Azri, Suhaibah |
author_sort |
Salleh, Syahiirah |
title |
Virtual 3D campus for Universiti Teknologi Malaysia (UTM) |
title_short |
Virtual 3D campus for Universiti Teknologi Malaysia (UTM) |
title_full |
Virtual 3D campus for Universiti Teknologi Malaysia (UTM) |
title_fullStr |
Virtual 3D campus for Universiti Teknologi Malaysia (UTM) |
title_full_unstemmed |
Virtual 3D campus for Universiti Teknologi Malaysia (UTM) |
title_sort |
virtual 3d campus for universiti teknologi malaysia (utm) |
publisher |
MDPI AG |
publishDate |
2021 |
url |
http://eprints.utm.my/id/eprint/96307/1/UznirUjang2021_Virtual3DCampusforUniversitiTeknologiMalaysia.pdf http://eprints.utm.my/id/eprint/96307/ http://dx.doi.org/10.3390/ijgi10060356 |
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1739828060788621312 |
score |
13.149126 |