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A Brand New Live 3D Geo-Platform
MAGO3D
Sanghee Shin(shshin@gaia3d.com)
What Is Next? 2016
<Source: 2014년 5월 8일 중앙일보>
<Source: http://www.bbc.com/news/science-environment-27299017
<Source: 2014년 4월 6일 중앙선데이>
<Source: http://www.extremetech.com/ April 22, 2016>
Introduction of MAGO3D
<Source: https://en.wikipedia.org/wiki/World_map>
Introduction of MAGO3D
Trends?
Comparing the evolution of ICT and SIT
<Source: Sakong, Hosang(2016), Policy Directions of Spatial Information for Hyper-connected Society>
Change Process of Spatial Information
<Source: Sakong, Hosang(2007)>
Location Technology Evolution
<Source: Steve Liang(2016)>
Location Technology Evolution
Source: 이기준, 2012, “공간정보관련 현안 이슈와 대응전략” 발표 자료를 재구성
Size of Space
Number of Users
인구수
도시계획 국토건설네이게이션
인터넷 지도
스마트폰
LBS
Person -> Things
(IoT)
1980
1990
2000
2010 ~
2020
Location Technology Evolution
<Source: Steve Liang(2016)>
Location Technology Evolution
<Source: Steve Liang(2016)>
Location Technology Evolution
<Source: Steve Liang(2016)>
Location is the first class
citizen for IoT!
Location Technology Evolution
Location Technology Evolution
Size of Space
Mobility
Small
1980
1990
2000
2010 ~
2020
Large
Static
Dynamic
<Source: Sakong, Hosang(2016), Policy Directions of Spatial Information for Hyper-connected Society>
Location Technology Evolution
<Source: Thomas W. Oestreich(2015), “Location, the Next Champion in Analytics”, Gartner Group.
IoT, Big Data and A.I.
감각 기관
기억
지능
IoT(Internet of Things)
Big Data
A. I.
Smartizen(10Bn) Smart Devices(100Bn) Smart Sensor(100Tn)
<Source: 이상훈(2016), ‘ICT 기술 파도와 4차 산업혁명’을 수정, 재편집>
Paradigm Shift of Location Technology
Current Future
Concept Object Information Context Awareness
Data Consumer Prosumer/DIY
User Person Things
Visualization Real World Cyber-Physical Space
Application Base Map Key Factor for Fusion
Driving Entity Public Sector Private Sector
Space Outdoor Indoor + Outdoor +
Update Static Dynamic
<Source: Sakong, Hosang(2016), ‘Policy Directions of Spatial Information for Hyper-connected Society’ 수정>
Any Problems? Bottleneck!!
BIM
Point
CloudDrone
Image
IoT
What MAGO3D is.
A Platform.
Goal.
Integration from space to desktop in a single platform1
Management/Providing on various type of GIS data
including indoor/outdoor and point cloud.
2
For 4D over 2D/3D merging3
Processing/Visualization on real-time massive data
such like weather, IOT, and etc
4
Identity?
Base Lineup
Base Lineup packaging
Base Lineup
GeoSHAPE GeoGig
?MAGO3D
Purely open source based!
Identity.
3D2D
operation & analysis
IoT Interface
Base Lineup
Enhancement
server
service
functionality
To-Be.
Base Lineup 3D FunctionalityMAGO3D
3D?
Cesium
MAGO3D
WWW
MAGO3D
whatever
MAGO3D
A plugin on any web 3D engines based on WebGL.
For web 3D geo-spatial application developments.
NOT an engine, BUT a plugin.
MAGO3D is
3D visualization with MAGO3D on Cesium
Plugin on Cesium(HTML5)
3D visualization with MAGO3D on WWW
Plugin on Web World Wind(HTML5)
Functionality?
Geo - Spatial
I don’t know about geo stuffs.
I just need ‘map’ in my service.
A GIS platform should give more general-purpose functions
to be used widely, even in non-GIS-specific fields.
Functionality.
To offer functionalities
which is on or can be coupled with geo-spatial
To makes easy approach/handling
on function results
in 2D/3D environments.
&
What we are doing with MAGO3D.
Indoor Handling
scene from indoor to outdoor through windows vice versa
Seamless integration between indoor and outdoor.
Indoor Handling
MAGO3D can handle massive indoor data
to the extend that at least 100k objects can be in a scene.
power plant and flow system in a camp in Antarctic
Indoor data model invented for indoor handling
object 1
object 2
object 3
object 4
object 5
object 6
…raw data indoor data model
…
mesh 1
mesh 2
mesh 3
model meshes
object 1 : mesh 3 + transform matrix + color
object 2 : mesh 1 + transform matrix + color
object 3 : mesh 2 + transform matrix + color
object 4 : mesh 3 + transform matrix + color
object 5 : mesh 3 + transform matrix + color
object 6 : mesh 2 + transform matrix + color
…
instances info
LiveDroneMap
mosaic pluginFTP server MAGO3D
image process with gdal
- null value trimming
- format conversion (to GeoTiff)
- SRS conversion (to EPSG:4326)
- building tile pyramid
WMS
tiled=true,
format=image/png
Time less than 5 min taken to process
from FTP receiving to MAGO3D visualization
with 41 drone-captured images.
.jpg + .jgw
LTE
monitoring
python
LiveDroneMap
LiveDroneMap can be useful in various fields,
specially in fields with priority for urgency such like
emergency/disaster prevention or monitoring.
LiveDroneMap – Realtime Data Processing
<Source: 서울시립대학교 센서 및 모델링 연구실(2016)>
LiveDroneMap – Rapid Post Processing
<Source: 서울시립대학교 센서 및 모델링 연구실(2016)>
What we will do with MAGO3D.
Data Type Scope Extension
meteorological/weather data
real-time data
(IOT, sensor/observation data)
point cloud
MAGO3D will be capable of
handling more types of data.
Functionality Enhancement
MAGO3D will have more functionalities
on operation, analysis, UI, and styling visualization.
type items
analysis
density map, standard ellipse, cost expectation over cost surface data,
whisker analysis, detection abnormality from IOT data, etc
operation raster operation(filtering, smoothing…), coverage rebuild, etc
styling volume rendering, 3D vector/streamline, cubing, etc
Server-side Extension
Server structure will be implemented
to make MAGO3D an enterprise-level platform.
3D Service/Data Extensions
Operation/Analysis Extensions
Data Importer/Exporter
Data Providing Server
Plugins on Web 3D Engines
Plugins for styling visualization
Default Web Client
Web Application Server
Server-side
Demonstration
All source codes are available at https://github.com/gaia3d
Thank you!

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Introduction of MAGO3D

  • 1. A Brand New Live 3D Geo-Platform MAGO3D Sanghee Shin([email protected]) What Is Next? 2016
  • 2. <Source: 2014년 5월 8일 중앙일보> <Source: http://www.bbc.com/news/science-environment-27299017
  • 3. <Source: 2014년 4월 6일 중앙선데이> <Source: http://www.extremetech.com/ April 22, 2016>
  • 8. Comparing the evolution of ICT and SIT <Source: Sakong, Hosang(2016), Policy Directions of Spatial Information for Hyper-connected Society>
  • 9. Change Process of Spatial Information <Source: Sakong, Hosang(2007)>
  • 11. Location Technology Evolution Source: 이기준, 2012, “공간정보관련 현안 이슈와 대응전략” 발표 자료를 재구성 Size of Space Number of Users 인구수 도시계획 국토건설네이게이션 인터넷 지도 스마트폰 LBS Person -> Things (IoT) 1980 1990 2000 2010 ~ 2020
  • 14. Location Technology Evolution <Source: Steve Liang(2016)> Location is the first class citizen for IoT!
  • 16. Location Technology Evolution Size of Space Mobility Small 1980 1990 2000 2010 ~ 2020 Large Static Dynamic <Source: Sakong, Hosang(2016), Policy Directions of Spatial Information for Hyper-connected Society>
  • 17. Location Technology Evolution <Source: Thomas W. Oestreich(2015), “Location, the Next Champion in Analytics”, Gartner Group.
  • 18. IoT, Big Data and A.I. 감각 기관 기억 지능 IoT(Internet of Things) Big Data A. I. Smartizen(10Bn) Smart Devices(100Bn) Smart Sensor(100Tn) <Source: 이상훈(2016), ‘ICT 기술 파도와 4차 산업혁명’을 수정, 재편집>
  • 19. Paradigm Shift of Location Technology Current Future Concept Object Information Context Awareness Data Consumer Prosumer/DIY User Person Things Visualization Real World Cyber-Physical Space Application Base Map Key Factor for Fusion Driving Entity Public Sector Private Sector Space Outdoor Indoor + Outdoor + Update Static Dynamic <Source: Sakong, Hosang(2016), ‘Policy Directions of Spatial Information for Hyper-connected Society’ 수정>
  • 22. A Platform. Goal. Integration from space to desktop in a single platform1 Management/Providing on various type of GIS data including indoor/outdoor and point cloud. 2 For 4D over 2D/3D merging3 Processing/Visualization on real-time massive data such like weather, IOT, and etc 4
  • 23. Identity? Base Lineup Base Lineup packaging Base Lineup GeoSHAPE GeoGig ?MAGO3D Purely open source based!
  • 24. Identity. 3D2D operation & analysis IoT Interface Base Lineup Enhancement server service functionality To-Be. Base Lineup 3D FunctionalityMAGO3D
  • 25. 3D? Cesium MAGO3D WWW MAGO3D whatever MAGO3D A plugin on any web 3D engines based on WebGL. For web 3D geo-spatial application developments. NOT an engine, BUT a plugin. MAGO3D is
  • 26. 3D visualization with MAGO3D on Cesium Plugin on Cesium(HTML5)
  • 27. 3D visualization with MAGO3D on WWW Plugin on Web World Wind(HTML5)
  • 28. Functionality? Geo - Spatial I don’t know about geo stuffs. I just need ‘map’ in my service. A GIS platform should give more general-purpose functions to be used widely, even in non-GIS-specific fields.
  • 29. Functionality. To offer functionalities which is on or can be coupled with geo-spatial To makes easy approach/handling on function results in 2D/3D environments. &
  • 30. What we are doing with MAGO3D.
  • 31. Indoor Handling scene from indoor to outdoor through windows vice versa Seamless integration between indoor and outdoor.
  • 32. Indoor Handling MAGO3D can handle massive indoor data to the extend that at least 100k objects can be in a scene. power plant and flow system in a camp in Antarctic
  • 33. Indoor data model invented for indoor handling object 1 object 2 object 3 object 4 object 5 object 6 …raw data indoor data model … mesh 1 mesh 2 mesh 3 model meshes object 1 : mesh 3 + transform matrix + color object 2 : mesh 1 + transform matrix + color object 3 : mesh 2 + transform matrix + color object 4 : mesh 3 + transform matrix + color object 5 : mesh 3 + transform matrix + color object 6 : mesh 2 + transform matrix + color … instances info
  • 34. LiveDroneMap mosaic pluginFTP server MAGO3D image process with gdal - null value trimming - format conversion (to GeoTiff) - SRS conversion (to EPSG:4326) - building tile pyramid WMS tiled=true, format=image/png Time less than 5 min taken to process from FTP receiving to MAGO3D visualization with 41 drone-captured images. .jpg + .jgw LTE monitoring python
  • 35. LiveDroneMap LiveDroneMap can be useful in various fields, specially in fields with priority for urgency such like emergency/disaster prevention or monitoring.
  • 36. LiveDroneMap – Realtime Data Processing <Source: 서울시립대학교 센서 및 모델링 연구실(2016)>
  • 37. LiveDroneMap – Rapid Post Processing <Source: 서울시립대학교 센서 및 모델링 연구실(2016)>
  • 38. What we will do with MAGO3D.
  • 39. Data Type Scope Extension meteorological/weather data real-time data (IOT, sensor/observation data) point cloud MAGO3D will be capable of handling more types of data.
  • 40. Functionality Enhancement MAGO3D will have more functionalities on operation, analysis, UI, and styling visualization. type items analysis density map, standard ellipse, cost expectation over cost surface data, whisker analysis, detection abnormality from IOT data, etc operation raster operation(filtering, smoothing…), coverage rebuild, etc styling volume rendering, 3D vector/streamline, cubing, etc
  • 41. Server-side Extension Server structure will be implemented to make MAGO3D an enterprise-level platform. 3D Service/Data Extensions Operation/Analysis Extensions Data Importer/Exporter Data Providing Server Plugins on Web 3D Engines Plugins for styling visualization Default Web Client Web Application Server Server-side
  • 43. All source codes are available at https://github.com/gaia3d Thank you!