Browse > Article
http://dx.doi.org/10.12672/ksis.2015.23.4.091

Comparison of CityGML and IndoorGML -A Use-Case Study on Indoor Spatial Information Construction at Real Sites-  

Li, Ki-Joune (Dept. of Computer Science, Pusan national University)
Kim, Tae-Hoon (Dept. of Computer Science, Pusan national University)
Ryu, Hyung-Gyu (Dept. of Computer Science, Pusan national University)
Kang, Hae-Kyong (KRIHS)
Publication Information
Abstract
Due to recent increase of indoor spatial information demands, several international standards have been published for indoor spatial information. OGC has also recently published two standards for indoor space; CityGML and IndoorGM. CityGML aims to provide a standard for 3D city modeling and the level of details (LoD) 4 covers the indoor space. IndoorGML focuses only on indoor space and provides several functions to complement the weakness of CityGML. It is therefore recommended to apply IndoorGML as a combination with CityGML. However since the weakness and strengths between these standards are not yet fully studied and understood, there is no well-defined guideline to apply them in a proper way. It means that we need to carry out a comparative study between them for their proper integration. For this reason, we discuss the pros and cons of these standards from two use-cases. The sites for the use-cases cover Lotte World Mall and Jongno-5 subway station, respectively. We studied these use-cases to compare CityGML and IndoorGML through the data construction of CityGML and IndoorGML for these sites. And based on several application scenarios, we also analyzed the weakness and strengths of each standard from different viewpoints. We expect that these comparative studies will be helpful to make a guideline on the application and integration between CityGML and CityGML.
Keywords
Indoor Spatial Information; CityGML; IndoorGML; Linking CityGML and IndoorGML;
Citations & Related Records
연도 인용수 순위
  • Reference
1 buildingSmart, IFC (Industrial Foundation Class), http://www.buildingsmart-tech.org/specifications/ifc-overview, IFC4, 2013.
2 ISO, Geographic Information - Spatial Schema, http://www.isotc211.org, ISO 19107:2003, 2003.
3 ISO, Geographic Information - Rules for Application Schema, http://www.isotc211.org, ISO 19109:2005, 2005.
4 Kim, J. S; Yoo, S. J; Li, K. J. 2013, A Study on Practical Use of CityGML for IndoorGML, Journal of KSIS, 21(6):33-43.
5 Kim, T. H; Li, K. J., The Study on Trajectory-based Map Matching by Indoor Network and Hidden Markov Model, Korea Spatial Information Society Fall Conference, 2014.
6 Kreveld, M. V; Wiratma, L. 2011, Median trajectories using well-visited regions and shortest paths, ACM SIGSpatial Conference 2011, 241-240.
7 Lee, J. G; Han, J; Whang, K. Y. 2007, Trajectory Clustering: a partition-and-group framework, ACM SIGMOD Conference 2007, 593-604.
8 OGC, CityGML 2.0http://www.opengeospatial.org/standards/citygml, 2012.
9 OGC, Geographic Markup Language 3.1, Accessed August 10. http://www.opengeospatial.org/standards/gml.
10 OGC IndoorGML 2014, Accessed August 10 http://www.opengeospatial.org/standards/indoorgml.
11 OGC, KML 2.2.0, Accessed August 10 http://www.opengeospatial.org/standards/kml.
12 OGC, Open Geospatial Consortium, Accessed August 10, http://www.opengeospatial.org.
13 Virtual Builders, GongBuilder, Accessed August 10, http://www.vbuilders.co.kr/products.
14 Ojeda, L; Borenstein, J. 2007, Non-GPS navigation with the personal dead-reckoning system, SPIE Defemse and Security Conference 2007.