Friday 2:40pm, Main hall Oindrila Gupta
http://2017.stateofthemap.org/2017/high-precision-mapping-with-streetlevel-imagery/
High Precision Mappingwith Street-level imagery
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Current state of the map:
116.8million highwaysSource: Jennings Anderson
Source: Jennings Anderson28.6% (33million) roads have names
• 28.6% have names• 9.6% are oneways• 6.4% have speed-limits• 4.2% have access tags
242million buildingsSource: Jennings Anderson
• 3.6% have building levels• 1.6% have names
11.6million amenities47% have names
How do we improve this?
Most common sources for remotemapping:
Satellite andaerial imagery
Third partydata
GPS Traces
Street-levelimagery
What is Street-level imagery?
Images having:• latitude, longitude• altitude (optionally)• bearing
Most common open-licensed, street-level imagery providers
Editing OpenStreetMap usingstreet-level imagery
has plugins for:• Mapillary• OpenStreetCam
Download plugins:‘Preferences’ ->‘Plugins’
Open plugins from‘Imagery’
has support forMapillary
In ‘Map Data’ turn on‘Photo Overlay’ and‘Traffic Sign Overlay’
Mapping common features fromstreet-level imagery
Traffic Signs
detects traffic signs from images
Building Details
How we use street-levelimagery at Mapbox
Mapping Navigational assets
osm-navigation map: mapbox.github.io/osm-navigation-map/
Verifying user feedbacks
Detecting harmful/incorrect edits
Future Potential
Source: mapbox.github.io/osm-analysis-collab/editor-densityMappers are everywhere
Current Mapillary coverage
Email: [email protected]Twitter: Oindrila_G
Questions?