Back to Search
Start Over
3D TOPOLOGICAL INDOOR BUILDING MODELING INTEGRATED WITH OPEN STREET MAP
- Source :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4/W1, Pp 111-117 (2016)
- Publication Year :
- 2016
- Publisher :
- Copernicus Publications, 2016.
-
Abstract
- Considering various fields of applications for building surveying and various demands, geometry representation of a building is 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.
- Subjects :
- lcsh:Applied optics. Photonics
lcsh:T
0211 other engineering and technologies
lcsh:TA1501-1820
02 engineering and technology
DUAL (cognitive architecture)
Construction surveying
Topology
Data structure
computer.software_genre
lcsh:Technology
Information science
Geography
lcsh:TA1-2040
021105 building & construction
0202 electrical engineering, electronic engineering, information engineering
Doors
Computer Aided Design
020201 artificial intelligence & image processing
Enhanced Data Rates for GSM Evolution
Representation (mathematics)
lcsh:Engineering (General). Civil engineering (General)
computer
Subjects
Details
- Language :
- English
- ISSN :
- 21949034 and 16821750
- Database :
- OpenAIRE
- Journal :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Accession number :
- edsair.doi.dedup.....095ddf2a7f96ea1dab3a45bd85795e1e