Using open source mapping tools to understand indoor navigation routes...
summary
Uses JOSM and iD editing plus Android collectors, QGIS processing and OpenLevelUp for multi‑floor visualization to convert PDFs/CAD into mapped indoor data. Maps a university building into corridor polygons, doors, handrails, stairs and nonvisual landmarks (sound, smell). Finds OpenStreetMap tags too sparse so creates a simple navigable‑route model; OSM stores the data but standard renderers hide levels. Prototype mapping and visualizations work but require extra tagging conventions and community buy‑in to be practical.
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chapters (8)
- 0:00Introduction and objective
- 1:02Indoor mobility challenges
- 7:26Data requirements for mapping
- 8:11Practical mapping experience
- 9:36Tools for visualization
- 10:31Data limitations and tags
- 11:27Challenges of pathfinding
- 12:30Conclusion and future work
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