2025-02-26 How to contribute to Mapillary @ PoliMI

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@mapconcierge 5BJDIJ'VSVIBTIJ

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“Street-level imagery”

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Maps Satellite /   Aerial photos DEM/DSM 3D Models 3D PointClouds Street-level Imagery Non-optical sensors

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Maps Satellite /   Aerial photos DEM/DSM 3D Models 3D PointClouds Street-level Imagery Non-optical sensors

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What is the most famous street-level imagery service in the world?

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https://about.google/brand-resource-center/products-and-services/geo-guidelines/#street-view

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https://about.google/brand-resource-center/products-and-services/geo-guidelines/#street-view

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https://about.google/brand-resource-center/products-and-services/geo-guidelines/#street-view

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https://about.google/brand-resource-center/products-and-services/geo-guidelines/#street-view We cannot use Google StreetView data for our research!

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Yes, We can!

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If you don’t have Mapillary account, Let’s sign in now!

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https://www.mapillary.com/mobile-apps

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https://www.mapillary.com/app/?lat=35.56668611111112&lng=139.40266666666668&z=17&menu=false&pKey=rPaB0BhwRTpy_7Z6k31oBw&focus=photo&x=0.5097002855874749&y=0.3226481104316623&zoom=0

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https://www.mapillary.com/app/?pKey=H8wioIgoZFucPG2B9un4zg&focus=photo&lat=34.772989&lng=138.015962&z=17

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2.0B Num. of Street-level imageries. https://www.mapillary.com ( 2025/2/5 )

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https://www.mapillary.com/app/

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Generating 3D PointCloud by Photogrametory and NeRF method

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http://blog.mapillary.com/update/2016/09/27/mapillary-joins-berkeley-deepdrive.html

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Detecting objects by Machine Learning

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http://blog.mapillary.com/update/2016/09/27/mapillary-joins-berkeley-deepdrive.html

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150 object detection classes

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https://www.mapillary.com/developer/api-documentation/detections

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Do you know who is the No.1 Mapillary contributor in Italy?

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I have published 16.1K 360 panoramic photos in the past week, Italy.

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I have published 57.6K 360 panoramic photos in the past week, Italy.

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in Milano

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# Built-in GPS

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# GPS Time correction

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※Time Adjuster via GNSS Plugin # GPS Time correction

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# Replaceable Battery

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# USB power supply available

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# USB power supply available ※No need to open the lid like a GoPro

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zenith directly below

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Bashar Alsadik, 2018. Active use of panoramic mobile mapping systems for as built surveying and heritage documentation   https://www.researchgate.net/publication/323206937_Active_use_of_panoramic_mobile_mapping_systems_for_as_built_surveying_and_heritage_documentation directly below zenith zenith directly below

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11,008 px 5,504 px

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11,008 px 5,504 px 11K Resolution: = 60 GigaPixels

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# Real-time automatic zenith correction

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# SD card and internal memory(46GB)

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# Handheld style with monopod

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# Handheld style with monopod ˞1SFGFSUIF*OTUBNPOPQPE

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Max: 3m

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# Shooting is in video mode

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# Shooting is in video mode ※ 8K/2FPS mp4 + CAMM metadata ※ Maximum Recording Time: 25min

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# Mapillary Uploader

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# Mapillary Tools

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mapillary_tools process_and_upload *.mp4

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GoPro MAX is cheaper

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# Embarrassing e-Compass Calibration

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4IPSU)BOETPO

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https://github.com/gisgeolab/mapillary4milano

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# Future

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# Future * More high Resolution over Giga/Peta Pixel   * Realtime Capturing and Publishing   * High-precision object recognition * High-precision 3D Scanning   * Connecting Metaverse Platform

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Maps Satellite /   Aerial photos DEM/DSM 3D Models 3D PointClouds Street-level Imagery Non-optical sensors

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How to bring own large geospatial data set?

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UNVT Portable Municipality Officer Web browser Orthomosaic Imageries Raster Tile Combined Raster/Vector Tile data set Local Wi-Fi

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UNVT Portable Municipality Officer Web browser Orthomosaic Imageries Raster Tile Combined Raster/Vector Tile data set Local Wi-Fi