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2025-02-26 How to contribute to Mapillary @ PoliMI
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mapconcierge
February 26, 2025
Education
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2025-02-26 How to contribute to Mapillary @ PoliMI
© mapconcierge, CC BY-SA 4.0
20250226 Mapillary Seminar @ PoliMI
mapconcierge
February 26, 2025
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Transcript
.BQJMMBSZ4FNJOBS!1PMJ.* 5BJDIJ'VSVIBTIJBLB!NBQDPODJFSHF "PZBNB(BLVJO6OJW1PMJUFDOJDPEJ.JMBOP NBQPDPODJFSHF $$#:4" )PXUPDPOUSJCVUFUP.BQJMMBSZ
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4FQ"VH
@mapconcierge 5BJDIJ'VSVIBTIJ
None
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“Street-level imagery”
Maps Satellite / Aerial photos DEM/DSM 3D Models 3D
PointClouds Street-level Imagery Non-optical sensors
Maps Satellite / Aerial photos DEM/DSM 3D Models 3D
PointClouds Street-level Imagery Non-optical sensors
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
https://about.google/brand-resource-center/products-and-services/geo-guidelines/#street-view
https://about.google/brand-resource-center/products-and-services/geo-guidelines/#street-view
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!
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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IUUQTXXXJOTUBHSBNDPNQ%%,PC$W0
IUUQTXXXNBQJMMBSZDPN
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
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 )
https://www.mapillary.com/app/
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Generating 3D PointCloud by Photogrametory and NeRF method
http://blog.mapillary.com/update/2016/09/27/mapillary-joins-berkeley-deepdrive.html
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Detecting objects by Machine Learning
http://blog.mapillary.com/update/2016/09/27/mapillary-joins-berkeley-deepdrive.html
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150 object detection classes
https://www.mapillary.com/developer/api-documentation/detections
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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IUUQTCMPHSJDPIDPNKB IUUQTCMPHSJDPIDPNFO
IUUQTMJOLNFEJVNDPN8:7CWN8*C
Y
5)&5"9 "EWBOUBHFT
None
# Built-in GPS
None
(14"OUFOOB
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# GPS Time correction
※Time Adjuster via GNSS Plugin # GPS Time correction
IUUQTHJUIVCDPNUIFUBTLVOLXPSLTUIFUBQMVHJOUJNFBEKVTUFSWJBHOTT
None
# Replaceable Battery
None
None
# USB power supply available
# USB power supply available ※No need to open the
lid like a GoPro
None
None
*NBHF1SPKFDUJPO l&RVJ3FDUBOHVMBSz
IUUQTFOXJLJQFEJBPSHXJLJ&RVJSFDUBOHVMBS@QSPKFDUJPO
zenith directly below
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
11,008 px 5,504 px 11K Resolution: = 60 GigaPixels
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# Real-time automatic zenith correction
None
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# SD card and internal memory(46GB)
None
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)PX*VTFNZ5)&5"9
# Handheld style with monopod
# Handheld style with monopod ˞1SFGFSUIF*OTUBNPOPQPE
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Max: 3m
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# Shooting is in video mode
# Shooting is in video mode ※ 8K/2FPS mp4 +
CAMM metadata ※ Maximum Recording Time: 25min
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# Mapillary Uploader
IUUQTXXXNBQJMMBSZDPNEFTLUPQVQMPBEFS
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# Mapillary Tools
IUUQTHJUIVCDPNNBQJMMBSZNBQJMMBSZ@UPPMT
mapillary_tools process_and_upload *.mp4
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None
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None
5)&5"9 %JTBEWBOUBHFT
&YQFOTJWF
IUUQTSJDPIUIFUBFVQSPEVDUTSJDPIUIFUBY
*GZPVXBOUUPHFU QBOPSBNBDBNFSBʜ
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GoPro MAX is cheaper
# Embarrassing e-Compass Calibration
IUUQTEFWTUIFUBHVJEFIPXUPSFTFUSJDPIUIFUBDPNQBTT
None
None
None
4IPSU)BOETPO
https://github.com/gisgeolab/mapillary4milano
None
None
None
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IUUQTXXXNBQJMMBSZDPNEFTLUPQVQMPBEFS
IUUQTXXXNBQJMMBSZDPNEFTLUPQVQMPBEFS
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# Future
# Future * More high Resolution over Giga/Peta Pixel
* Realtime Capturing and Publishing * High-precision object recognition * High-precision 3D Scanning * Connecting Metaverse Platform
Maps Satellite / Aerial photos DEM/DSM 3D Models 3D
PointClouds Street-level Imagery Non-optical sensors
How to bring own large geospatial data set?
XXXSBTQCFSSZQJPSH
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UNVT Portable Municipality Officer Web browser Orthomosaic Imageries Raster Tile
Combined Raster/Vector Tile data set Local Wi-Fi
UNVT Portable Municipality Officer Web browser Orthomosaic Imageries Raster Tile
Combined Raster/Vector Tile data set Local Wi-Fi
BYOG Bring Your Own Geospatial data
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@mapconcierge