The Journey from IFC Files to Indoor Navigation
Student thesis: Master thesis (including HD thesis)
- Christian de Haas
- Mikkel Svendstrup Boysen
4. term, Software, Master (Master Programme)
This report documents a project based on developing a prototype as a solution to extract and manage indoor data from IFC files and demonstrate the use of it in a navigation app.
The project continues the work done in the preceding semester, in terms of both improvements and extensions. Completion of the prototype back-end is done by altering the extraction process to remove found errors, enhancing the mapping procedure to provide significantly better results, harness the advantages of using a spatial database, and adding useful features to the back-end UI. Additionally, a partition decomposition algorithm is refined and implemented to avoid dead space in the R-tree used by a spatial index.
A front-end has been developed as an app with indoor navigation features. This includes the development of a routing functionality and a novel method to calculate intra-partition distances, which is evaluated through experimental tests.
The project continues the work done in the preceding semester, in terms of both improvements and extensions. Completion of the prototype back-end is done by altering the extraction process to remove found errors, enhancing the mapping procedure to provide significantly better results, harness the advantages of using a spatial database, and adding useful features to the back-end UI. Additionally, a partition decomposition algorithm is refined and implemented to avoid dead space in the R-tree used by a spatial index.
A front-end has been developed as an app with indoor navigation features. This includes the development of a routing functionality and a novel method to calculate intra-partition distances, which is evaluated through experimental tests.
Language | English |
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Publication date | 7 Jun 2013 |
Number of pages | 74 |