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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主要な著者: Salleh, Syahiirah, Ujang, Uznir, Azri, Suhaibah
フォーマット: 論文
言語:English
出版事項: 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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spelling 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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