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High Precision Mapping with Street-level imagery
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Current state of the map:
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116.8million highways Source: Jennings Anderson
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Source: Jennings Anderson 28.6% (33million) roads have names
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• 28.6% have names • 9.6% are oneways • 6.4% have speed-limits • 4.2% have access tags
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242million buildings Source: Jennings Anderson
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• 3.6% have building levels • 1.6% have names
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11.6million amenities 47% have names
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How do we improve this?
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Most common sources for remote mapping:
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Satellite and aerial imagery
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Third party data
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GPS Traces
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Street-level imagery
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What is Street-level imagery?
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Images having: • latitude, longitude • altitude (optionally) • bearing
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Most common open-licensed, street-level imagery providers
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Editing OpenStreetMap using street-level imagery
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has plugins for: • Mapillary • OpenStreetCam
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Download plugins: ‘Preferences’ -> ‘Plugins’
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Open plugins from ‘Imagery’
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has support for Mapillary
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In ‘Map Data’ turn on ‘Photo Overlay’ and ‘Traffic Sign Overlay’
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Mapping common features from street-level imagery
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Traffic Signs
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detects traffic signs from images
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Building Details
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How we use street-level imagery at Mapbox
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Mapping Navigational assets
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osm-navigation map: mapbox.github.io/osm-navigation-map/
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Verifying user feedbacks
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Detecting harmful/incorrect edits
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Future Potential
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Source: mapbox.github.io/osm-analysis-collab/editor-density Mappers are everywhere
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Current Mapillary coverage
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Email: oindrila@mapbox.com Twitter: Oindrila_G
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Questions?