Prof. Taichi Furuhashi
Aoyama Gakuin
University / PoliMI
A Framework for Mitigating
Drone Imagery
Transmission Challenges
in Disaster Scenarios:
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1BSUPGUIF .%1*%SPOFT8FCJOBST TFSJFT
IUUQTNBQPQFOBFSJBMNBQPSH
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This is the first orthomosaic image captured by a drone
during a disaster and released as open data in Japan.
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Drone technology
can support
“Resilient Society”, we think.
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We call:
“Drone Collaborative Society”
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We are sharing our knowledge
to local governments and firefighters
GFDRR, World Bank (2020): Information and Communication Technology for Disaster Risk Management in Japan.
http://documents.worldbank.org/curated/en/979711574052821536/pdf/Information-and-Communication-Technology-for-Disaster-Risk-Management-in-Japan.pdf
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GFDRR, World Bank (2020): Information and Communication Technology for Disaster Risk Management in Japan.
http://documents.worldbank.org/curated/en/979711574052821536/pdf/Information-and-Communication-Technology-for-Disaster-Risk-Management-in-Japan.pdf
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GFDRR, World Bank (2020): Information and Communication Technology for Disaster Risk Management in Japan.
http://documents.worldbank.org/curated/en/979711574052821536/pdf/Information-and-Communication-Technology-for-Disaster-Risk-Management-in-Japan.pdf
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GFDRR, World Bank (2020): Information and Communication Technology for Disaster Risk Management in Japan.
http://documents.worldbank.org/curated/en/979711574052821536/pdf/Information-and-Communication-Technology-for-Disaster-Risk-Management-in-Japan.pdf
Total Distance: 75 km(round trip 150km)
Total flight time: 3 hours(6 missions)
https://aerosense.co.jp/media/pressrelease/20250321_pressrelease
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Current issues:
- Realtime Data Sharing: '177JEFPPOMZWJB4UBS-JOL
- Making Orthomosaic: 1PTU1SPDFTTJOHGPSGFXIPVST
- Uploading Orthomosaic: "GUFSBGFXIPVSTUPIBMGBEBZ
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Upload: 15.5 Mbps
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IUUQTXXXQBSSPUDPNFOESPOFTBOB
fi
BJUFDIOJDBMEPDVNFOUBUJPODPOOFDUJWJUZ
UNVT Portable
Municipality Officer
Web browser
Orthomosaic Imageries
Raster Tile
Combined
Raster/Vector
Tile data set
Local Wi-Fi
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Build datasets based on OpenStreetMap, pre-installed with other tiled datasets, drone aerial data,
shelter and hazard map data Web maps can be viewed in an offline environment during a disaster.
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Hosting using open software such as Nginx.
Wi-Fi access point controlled by NetworkManager.
Web Map Library based on MapLibre GL JS. Everything is composed of open source.
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STRATEGY
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By scanning the QR code with your phone's camera, you can view a web map even in an offline
environment.
No special skills or tools are required
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Uses RaspberryPi, so it can be mass-produced in preparation for natural disasters.
Low cost and high performance
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DESIGN
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If you have a own UNVT Portable, you can connect like this Local Wi-Fi.
SSID: UNVTportable
Password: UNVTportable
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You can view a web map site like this…
http://10.42.0.1