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Day1-1440-High precision mapping with streetlevel imagery

sotm2017
September 01, 2017

Day1-1440-High precision mapping with streetlevel imagery

sotm2017

September 01, 2017
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  1. High Precision Mapping
    with Street-level imagery

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  2. Current state of the map:

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  3. 116.8million highways
    Source: Jennings Anderson

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  4. Source: Jennings Anderson
    28.6% (33million) roads have names

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  5. • 28.6% have names
    • 9.6% are oneways
    • 6.4% have speed-limits
    • 4.2% have access tags

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  6. 242million buildings
    Source: Jennings Anderson

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  7. • 3.6% have building levels
    • 1.6% have names

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  8. 11.6million amenities
    47% have names

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  9. How do we improve this?

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  10. Most common sources for remote
    mapping:

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  11. Satellite and
    aerial imagery

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  12. Third party
    data

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  13. GPS Traces

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  14. Street-level
    imagery

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  15. What is Street-level imagery?

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  16. Images having:
    • latitude, longitude
    • altitude (optionally)
    • bearing

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  17. Most common open-licensed, street-level imagery providers

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  18. Editing OpenStreetMap using
    street-level imagery

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  19. has plugins for:
    • Mapillary
    • OpenStreetCam

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  20. Download plugins:
    ‘Preferences’ ->
    ‘Plugins’

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  21. Open plugins from
    ‘Imagery’

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  24. has support for
    Mapillary

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  25. In ‘Map Data’ turn on
    ‘Photo Overlay’ and
    ‘Traffic Sign Overlay’

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  27. Mapping common features from
    street-level imagery

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  28. Traffic Signs

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  29. detects traffic signs from images

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  40. Building Details

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  42. How we use street-level
    imagery at Mapbox

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  43. Mapping Navigational assets

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  44. osm-navigation map: mapbox.github.io/osm-navigation-map/

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  45. Verifying user feedbacks

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  46. Detecting harmful/incorrect edits

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  47. Future Potential

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  48. Source: mapbox.github.io/osm-analysis-collab/editor-density
    Mappers are everywhere

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  49. Current Mapillary coverage

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  50. Email: [email protected]
    Twitter: Oindrila_G

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  51. Questions?

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