JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Study on the Implementation of Indoor Topology Using Image Data
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Study on the Implementation of Indoor Topology Using Image Data
Kim, Munsu; Kang, Hye-Young; Lee, Jiyeong;
  PDF(new window)
 Abstract
As the need of indoor spatial information has grown, many applications have been developed. Nevertheless, the major representations of indoor spatial information are on the 2D or 3D, recently, the service based on omni-directional image has increased. Current service based on omni-directional image is used just for viewer. To provide various applications which can serve the identifying the attribute of indoor space, query based services and so on, topological data which can define the spatial relationships between spaces is required. For developing diverse applications based on omni-directional image, this study proposes the method to generate IndoorGML data which is the international standard of indoor topological data model. The proposed method is consist of 3 step to generate IndoorGML data; 1) Analysis the core elements to adopt IndoorGML concept to image, 2) Propose the method to identify the element of ‘Space’ which is the core element of IndoorGML concept, 3) Define the connectivity of indoor spaces. The proposed method is implemented at the 6-floor of 21centurybuilding of the University of Seoul to generate IndoorGML data and the demo service is implemented based on the generated data. This study has the significance to propose a method to generate the indoor topological data for the indoor spatial information services based on the IndoorGML.
 Keywords
IndoorGML;Indoor Topology;Omni-directional Image;Indoor Spatial Information;
 Language
Korean
 Cited by
1.
Development of an Omnidirectional-Image-Based Data Model through Extending the IndoorGML Concept to an Indoor Patrol Service, Journal of Sensors, 2017, 2017, 1687-7268, 1  crossref(new windwow)
 References
1.
Ah-Soon, C. and Tombre, K. (2001), Architectural symbol recognition using a network of constraints, Pattern Recognition Letters, Vol. 22, No. 2, pp. 231-248. crossref(new window)

2.
Dominguez, B., Garcia, A.L., and Feito, F.R. (2012), Semiautomatic detection of floor topology from CAD architectural drawings, Computer-Aided Design, Vol. 44, pp. 367-378. crossref(new window)

3.
Dosch, P., Tombre, K., Ah-Soon, C., and Masini, Ga. (2000), A complete system for the analysis of architectural drawings, International Journal on Document Analysis and Recognition, Vol. 3, No. 2, pp. 102-116. crossref(new window)

4.
Hwang, J.R., Kang, T.W., and Hong, C.H. (2012), A study on the correlation analysis between IFC and CityGML for efficient utilization of construction data and GIS data, Journal of Korean Spatial Information Society, Vol. 20, No. 5, pp. 49-56. (in Korean with English abstract) crossref(new window)

5.
Jeong, S.K. and Ban Y.U. (2011), Developing a topological information extraction model for space syntax analysis, Building and Environment, Vol. 46, pp. 2442-2453. crossref(new window)

6.
Kang, H. and Lee, J. (2014), A study on the LOD model for applications based on indoor space data, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 32, No. 2, pp. 143-151. (in Korean with English abstract) crossref(new window)

7.
Khalili, A. and Chua, D.K.H. (2015), IFC-based graph data model for topological queries on building elements, Journal of Computing in Civil Engineering, Vol. 29, No. 3, pp. 1-14.

8.
Lee, J., Li, K.J., Zlatanovam S., Kolbe, T.H., Nagel, C., and Becker, T. (2014), IndoorGML v.1.0., Open Geospatial Consortium.

9.
Li, K.J. and Lee, J. (2013), Basic concepts of indoor spatial information candidate standard IndoorGML and its applications, Journal of Korean Spatial Information Society, Vol. 21, No. 3, pp. 1-10. (in Korean with English abstract)

10.
Lladós, J, López-Krahe, J., and Martí, E. (1997), A system to understand hand-drawn floor plans using subgraph isomorphism and Hough transform, Machine Vision and Applications, Vol. 10, No. 3, pp. 150-158. crossref(new window)

11.
Oh, C.W. (2010), A study on integration strategy between GIS and BIM, The Korean Association of Professional Geographers, Vol. 44, No. 3, pp. 443-453. (in Korean with English abstract)

12.
Oh, S. and Lee, I. (2012), Georeferencing of indoor omni-directional images acquired by a rotating line camera, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 30, No. 2, pp. 211-221. (in Korean with English abstract) crossref(new window)

13.
Ryu, H.G., Kim, T., and Li, K.J. (2014), Indoor navigation map for visually impaired people, Proceedings of Indoor Spatial Awareness (ISA) 2014, pp. 32-35.

14.
Schafer, M., Knapp, C., and Chakraborty, S. (2011), Automatic generation of topological indoor maps for real-Time map-based localization and tracking, Proceedings of Indoor Positioning and Indoor Navigation(IPIN) 2011.

15.
Shin, H. and Cha, H. (2010), Wi-fi fingerprint-based topological map building for indoor user tracking, Proceedings of 2010 IEEE 16th International Conference on, pp. 105-113.

16.
Taneja, S., Akinci, B., Garrett, J. H., Soibelman, L., and East, B. (2011), Transforming an IFC-based building layout information into a geometric topology network for indoor navigation assistance, Proceedings of Computing in Civil Engineering 2011, pp. 315-322.