This document provides an overview of MAGO3D, a new live 3D geo-platform. It discusses how MAGO3D aims to integrate both indoor and outdoor spatial data in a single platform, support 4D visualization of data including real-time IoT and sensor data, and function as a plugin for various web 3D engines. Key current and planned features of MAGO3D mentioned include handling large indoor models and scenes, rapid processing and visualization of drone imagery through LiveDroneMap, and expanding the types of data and functionality supported through ongoing development.

1. A Brand New Live 3D Geo-Platform
MAGO3D
Sanghee Shin(shshin@gaia3d.com)
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>

5. <Source: https://en.wikipedia.org/wiki/World_map>

7. Trends?

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)>

10. Location Technology Evolution
<Source: Steve Liang(2016)>

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

12. Location Technology Evolution
<Source: Steve Liang(2016)>

13. Location Technology Evolution
<Source: Steve Liang(2016)>

14. Location Technology Evolution
<Source: Steve Liang(2016)>
Location is the first class
citizen for IoT!

15. Location Technology Evolution

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>

20. Any Problems? Bottleneck!!
BIM
Point
CloudDrone
Image
IoT

21. What MAGO3D is.

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

42. Demonstration

43. All source codes are available at https://github.com/gaia3d
Thank you!