[GIS] How to create accurate indoor maps

indooropenstreetmap

I'm currently developing an indoor positioning system for a college project. I searched for a good mapping platform and I found that openstreetmaps would suit me best, but now I'm stuck in generating an accurate indoor map with real long and lat values. How could I create an accurate indoor map with long and lat values without using GPS?

Any idea how to create such a map or any suggestions about accurate indoor mapping?

Best Answer

You may find that longitude and latitude are cumbersome to deal with in an indoor setting because these are in degrees (i.e., they define an angle with its origin at the center of the earth). Using a state plane coordinate reference system (CRS) with meters or feet as the measure of X and Y would make your life simpler. In Geoserver you can use an existing CRS, or define your own. You can also hook Geoserver up with OpenLayers.

An interesting related system is Indoor Atlas, which uses maps of the earth's magnetic field to provide reference data for indoor mapping. (I am not affiliated with that company, and can't vouch for the system's efficacy.)

Related Solutions

[GIS] OpenStreetMap – Determining number of nodes, ways, and relations in a PBF file

You can run osm2pgsql with null output, no RAM cache, and no slim cache. For a 2.5GB PBF extract of Canada, it took me about 37 seconds to count the nodes, on an NVMe SSD.

$ osm2pgsql --output null --cache 0 canada-latest.osm.pbf
osm2pgsql version 0.96.0 (64 bit id space)

WARNING: ram cache is disabled. This will likely slow down processing a lot.

Using projection SRS 3857 (Spherical Mercator)
Allocating memory for dense node cache
Allocating dense node cache in one big chunk
Allocating memory for sparse node cache
Sharing dense sparse
Node-cache: cache=0MB, maxblocks=0*65536, allocation method=3

Reading in file: canada-latest.osm.pbf
Using PBF parser.
Processing: Node(327502k 32750.3k/s) Way(18801k 895.29k/s) Relation(0 0.00/s)  parse time: 31s
Node stats: total(327502800), max(6338602157) in 10s
Way stats: total(19016827), max(676910855) in 21s
Relation stats: total(321360), max(9397389) in 0s

Going over pending ways...
        0 ways are pending

Using 12 helper-processes
Finished processing 0 ways in 0 s


Going over pending relations...
        0 relations are pending

Using 12 helper-processes
Finished processing 0 relations in 0 s

node cache: stored: 0(0.00%), storage efficiency: nan% (dense blocks: 0, sparse nodes: 0), hit rate: nan%

Osm2pgsql took 37s overall

Note that there are two numbers, the total for this file, and the max for the OSM database.

The node count can then be multiplied by 8 bytes to get a good estimate for the cache size when you import into PostgreSQL. In this case, 327502800 * 8 bytes = 2.44 GB. The osm2pgsql manual recommends adding 10 to 30% overhead on top of that cache value.

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[GIS] OpenStreetMap – Determining number of nodes, ways, and relations in a PBF file

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