OSM goes indoors in SNCF train stations The document discusses how OpenStreetMap (OSM) data has been mapped indoors for 388 SNCF train stations in Paris up to 8 levels deep. Architectural plans and 360 degree photos were used to precisely map stations down to 10cm accuracy. Tools like OpenLevelUp were created to help view and edit the complex indoor data. The work is part of converging projects to map more indoor spaces like universities, museums, offices and shopping malls using OSM.

1. OSM goes indoors
in SNCF train stations
Florian LAINEZ, Antoine RICHE, Adrien PAVIE
4 november 2016

2. Adrien Pavie
User : PanierAvide
http://pavie.info
@panieravide
Florian Lainez
User : overflorian
http://transilien.com
@overflorian
Antoine Riche
User : naomap
http://cartocite.fr
@cartocite

3. 3
Why?

4. 4Why How Coming next
SNCF Transilien

5. 5Why How Coming next
● 388 stations
mapped for SNCF
● Up to 8 levels
(+ half-levels)
Paris railway stations

6. 6Why How Coming next
The choice of OpenStreetMap

7. 7
How?

8. 8Why How Coming next
OSM Tags
Full details publicly documented on :
wiki.openstreetmap.org/wiki/FR:Railway_stations

9. 9Why How Coming next
Phase 1 : architect plans
Steps :
●
Convert DWG &
PDF to images
●
Georeference
with QGIS
●
Produce tiles
with GDAL
(up to zoom 23)

10. 10Why How Coming next
Mapping from architect plans
Precise mapping
(~ 10 cm accuracy)
Not so easy :
➔
which way up ?
➔
what levels ?

11. 11Why How Coming next
Phase 2 : surveying
« V4MPod » 360° camera kit
designed and built by @stfmani
4 Xiaomi Yi cameras
15 000 photos in 4 days

12. 12Why How Coming next
Geotagging indoor pictures
A mix of :
●
JOSM
●
exiftool
●
Python scripts
Full details on
www.stemani.fr

13. 13Why How Coming next
And the result is ...
Happy
mappers !

14. 14Why How Coming next
And the result is ...
Happy
mappers !

15. 15Why How Coming next
Impact on editing (JOSM)
Welcome to
Gare de Lyon
I just want to
add a bench !

16. 16Why How Coming next
Impact on editing (JOSM)
(level:"^1" OR
level:";1")
Filters are just
essential…
Good filters are not
so easy !

17. 17Why How Coming next
OpenLevelUp!
Essential tool to
check the result
✔
level selector
✔
tags viewer
✔
suitable icons
✔
up-to-date data
+ extra features
http://openlevelup.net/

18. 18
Coming next

19. 19Why How Coming next
Better viewer & simpler reusing
OpenLevelUp
dev.openlevelup.net

20. 20Why How Coming next
Simpler editing
iD
Indoor
projets.pavie.info/id-indoor/

21. 21
CONCLUSION

22. Looking around
Converge with
other projects :
● share practices
● share tools
● share new tags
● share icons
www.openstationmap.org

23. It can be everywhere
Universities Museums
OfficesShopping malls

24. Thank you for
your attention !
@panieravide
pavie.info
@overflorian
transilien.com
@cartocite
cartocite.fr