3D topologial indoor building modeling integrated with open street map

Jamali, Ali; Abdul Rahman, Alias; Boguslawski, Pawel

Abstract

the most crucial aspect of a building survey. The interiors of the buildings need to be described along with the relative locations of the rooms, corridors, doors and exits in many kinds of emergency response, such as fire, bombs, smoke, and pollution. Topological representation is a challenging task within the Geography Information Science (GIS) environment, as the data structures required to express these relationships are particularly difficult to develop. Even within the Computer Aided Design (CAD) community, the structures for expressing the relationships between adjacent building parts are complex and often incomplete. In this paper, an integration of 3D topological indoor building modeling in Dual Half Edge (DHE) data structure and outdoor navigation network from Open Street Map (OSM) is presented.

Citation

Jamali, A., Abdul Rahman, A., & Boguslawski, P. (2016, October). 3D topologial indoor building modeling integrated with open street map. Paper presented at International Conference on Geomatic and Geospatial Technology (GGT) 2016, Kuala Lumpur, Malaysia

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: International Conference on Geomatic and Geospatial Technology (GGT) 2016
• Conference Location: Kuala Lumpur, Malaysia
• Start Date: Oct 3, 2016
• End Date: Oct 5, 2016
• Acceptance Date: Aug 31, 2016
• Publication Date: Sep 29, 2016
• Deposit Date: Oct 31, 2016
• Publicly Available Date: Nov 3, 2016
• Peer Reviewed: Peer Reviewed
• Pages: 111-117
• Keywords: indoor surveying, 3D data modeling, topology, 3D indoor building, open street map
• Public URL: https://uwe-repository.worktribe.com/output/907851
• Publisher URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W1/111/2016/
• Additional Information: Title of Conference or Conference Proceedings : International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W1, 2016