Strategic Research Cluster in Advanced Geotechnologies

Strategic Research Cluster in Advanced Geotechnologies

Strategic Research Cluster in Strategic Research Cluster in Advanced GeotechnologiesAdvanced Geotechnologies

A Stewart Fotheringham

National Centre for GeocomputationNational University of Ireland, Maynooth


THE FACTS

7m euros (plus 2m in overheads) over 5 years to fund Strategic Research Cluster in Advanced Geotechnologies

Led by the National Centre for Geocomputation, NUIM

Starting date: May 01, 2008

Lots of potential links with CASA


BUDGETBUDGET

SRA in Advanced Geotechnologies - Years 1 - 5

0200000400000600000800000

10000001200000140000016000001800000

Year 1 Year 2 Year 3 Year 4 Year 5

Year

Euro

s (€)

Staff Equipment (>€2,000) Materials & Consumables Travel


OUTLINE

What?

Why?

How?

Who?

When?


WHAT?

RECORDING

GEOCODED ATTRIBUTES OF OUR ENVIRONMENT

What are Advanced Geotechnologies?

Knowing where things areKnowing where things are

Knowing where things are in relation to other thingsKnowing where things are in relation to other things

Making more informed decisionsMaking more informed decisions

AdvancedGeotechnologies

SRC DISSEMINATING

VIEWING

PROCESSING

Next generation technologies for improved spatial decision-making


WHY?

Why are they important?

Mapping data to monitor the environment

Understanding how and why attributes vary spatially

Estimating missing values (spatial interpolation)

Linking data from different sources

Identifying where changes take place

Identifying spatial clusters

Because it is increasingly recognised that most data are spatial and we are able to capture increasingly large volumes of spatial data that need to be processed in order to make informed decisions…

Making more informed decisions


WHY?

For instance…

Technology to capture spatial data is evolving rapidly…

Tremendous growth in this sector. For instance…

Massive European investment in spatial data … GPS; RFID; LiDAR; all-weather satellite imagery; microlites; pseudolites; geocoded HDTV and video Galileo €3.2 billion satellite system for improved recording of location – EC estimates 3 billion GPS receivers by 2010 and a market worth €250 billion; GMES (€2.4 billion satellite system for monitoring land use, natural disasters, marine and climate); Envisat satellite extended to 2012 (greenhouse gas monitoring, melting ice caps, rising sea levels);

The GIS industry is growing rapidly. Total annual expenditure on GIS Software, hardware, employees and services is now estimated to be of the order of $15 to 20 billion (Source: gisdevelopment.net)

Application areas very broad

Nokia acquiring Navteq navigation software company for $8.1 billion US (Source: CBC News, October, 2007)


WHY?

Geographic Information Systems (GIS) Use by sector


WHY?

Global GPS Sales Growth 1997-2006 (2007-2008 projected)

0,00

5,00

10,00

15,00

20,00

25,00

30,00

35,00

1996 1998 2000 2002 2004 2006 2008 2010

BIL

LIO

NS

US

$

Projections: Industrial Economics and Knowledge Center (IEK) Taiwan


WHY?


WHY?

Radio Frequency Identification (RFID)

Year Production (Billions)

Average cost Estimated Revenue (Billions US$)

2000 0.15 0.3 0.045

2005 1.3 0.2 0.26

2010 33 0.1 3.3

2016 1650 0.02 33

Global RFID Production and prices projections to 2016

Statistics and projections complied from various sources


WHY?

Journal references to RFID 1996-2006

0

100

200

300

400

500

600

1994 1996 1998 2000 2002 2004 2006 20080

200

400

600

800

1000

1200

1994 1996 1998 2000 2002 2004 2006 2008

IEEE SCOPUS

IEEE searches the world's highest quality technical literature in electrical engineering, computer science, and electronics

SCOPUS searches 11700 published titles


WHY?

Journal references to LIght Detection And Ranging (LIDAR)

0

100

200300

400

500

600

700800

900

1000

1985 1990 1995 2000 2005 2010

SCOPUS GEOBASE

SCOPUS searches 11700 published titlesGeobase searches over 2,000 international journals


WHY?

Why this growth …

Determine which parts of a coastline will be flooded if sea levels rise by 40 cm

Monitor heat loss from houses – energy consumption / drug growing

Undertake airborne surveillance of crowds and relay to ground-based devices

Monitor wild fires and disseminate information in real time to mobile devices to assist firefighters and home owners

Investigate the spread of a disease in people or animals

Monitor people’s movements (hospitals; schools; airports)

Track extreme weather or traffic conditions and relay this information to devices in cars and offer alternative routes

Monitor air or water quality levels and alert mobile devices where there might be a problem

Inventory the location of objects


INTERVENTIONS

HOW?

How is this to be done?

Geospatial Monitoring and Early Warning Systems

INTERVENTIONSINTERVENTIONS

ENVIRONMENT

SENSORS

ALGORITHMS

VISUALISATION

LBS


HOW?

Geospatial Monitoring and Early Warning System

A set of geo-sensors deployed over broad area collecting and integrating data in real time, determining what constitutes ‘good’ data and sending these either for further processing at a central site or directly to remote devices.

The remote devices can then be used to make decisions based on real-time scenarios and to access other data bases to aid such decisions

Generic set of : Protocols

Algorithms Technological developments

To monitor a variety of environmental attributes


Example 1: A Campus Information System

HOW?

OSi map data 1:5000

OSi orthophotos 1;40,000

Ground-based LiDAR

Geocoded digital photographs

Airborne LiDAR

Campus databases (building attributes; depts; services; events etc.)

RFID tags (security and other personnel)

Building interiors

Thermal imagery (energy conservation)

CCTV cameras

DATA COLLECTION



HOW?

Matching diverse databases based on common geocoded points

adding photos to ground-based LiDAR

matching ground and airborne LiDAR

linking campus databases to scanned images

linking scans to mapped database

linking RFID sensor info to 3D images

Processing LiDAR data

Calculating shortest paths between places – taking into account 3D and potential obstacles such as steps.

Feature extraction from live video streams

Movement tracking / behaviour identification /crowd monitoring

DATA PROCESSING



HOW?

Creating 3D map of the campus

Creating AR map of the campus with point and click interface for querying

Querying and displaying of shortest routes (inc. steps etc)

Live tracking of individuals

CCTV monitoring linked to 3D map

Heat loss maps of campus

Interiors of buildings displayed in 3D

Locations of alarms

Simulations of crowd scenes / events on campus / evacuation

DATA VISUALISATION



HOW?

Sending information to locationally aware devices (LADs) around campus via WiMAX

Feedback from LADs on location of individuals and signal strength

Allow devices to point at buildings and retrieve data relating to those buildings (e.g seminars, depts.)

Allow map interface to change automatically as user moves location and direction

Continuous monitoring of wayfinding

Displaying location of alarms

Monitoring location of others (e.g. security personnel)

DATA DISSEMINATION


Example 2: Video-based SatNav System (Maynooth)

HOW?

DATA COLLECTION 1:5000 road data; Geocoded video of all roads; 1:40000 orthos

DATA PROCESSING

DATA VISUALISATION

DATA DISSEMINATION

Algorithm for processing large amounts of geocoded video and delivering to LADs; Algorithm for route selection and joining relevant video streams; Algorithm for measurement of objects on video (such as distance to next junction and updated in real time)

Linked map/ortho/video displays and location of car – updated in real time; Optimal route; LBS

Streaming geocoded video to LADs in cars via WiMAX; Link to other databases for LBS displays


Other application areas include…

HOW?

Flood control

Pollution monitoring (airborne, fluvial, oceanographic)

Intelligent transportation systems (congestion charging; network management)

Disease infection

Disaster management (both in Ireland and abroad)

Seabed and oceanographic monitoring

Climate monitoring

Land use monitoring (urban; rural; forestry)

Security (airport pedestrian monitoring; vehicle tagging etc)


WHO?

Who are we?Who are we?


SRC

NCG-NUIM

CS - NUIM

EE - NUIM

CS -TCD

CS-UCDDMC-DIT

Industrial Partners

Gov. Agency Partners

Future Ind. Partners

International Collaboration



SRC

DYNAMICS AND CONTROL RESEARCH GROUP

WHO?

Where will this take place?The SRC is a cluster of PIs and labs

National Centre for

Geocomputation, NUIM

Dept. ofComputer Science,

NUIM

Dept. of Electronic

Engineering, NUIM

School of Comp. Science and Statistics,

TCD

School of Comp. Science

and Informatics, UCD

Digital Media

Centre, Dublin Institute of Technology

STEWART FOTHERINGHAM

MARTIN CHARLTON

TIM MCCARTHY

JAMES CARSWELL

COMPUTER VISION AND IMAGING LABORATORY

INTELLIGENT &GRAPH-BASED SYSTEMS RESEARCH GROUP

RONAN FARRELL

SEÁN MCLOONE

GRAPHICS VISION AND VISUALISATION GROUP

MICHELA BERTOLOTTO

JOHN MCDONALD

ADAM WINSTANLEY

INSTITUTE OF MICROELECTRONICS

AND WIRELESS SYSTEMS

JOHN RINGWOOD

CAROL O’SULLIVAN

SPATIAL INFORMATION SYSTEMS GROUP


WHO?PARTNERS

INDUSTRYINDUSTRY

ESRIMichael Byrne

ESRIMichael Byrne

eSpatial SolutionsEamon Walsh

eSpatial SolutionsEamon Walsh

FUTUREFUTURE

BKSChris Boreland

BKSChris Boreland

PMSKeiren Feighan

PMSKeiren Feighan

IBI GroupIBI Group

GOV AGENCIESGOV AGENCIES

Ordnance Survey IrelandStephen Curran Hugh Mangan

Ordnance Survey IrelandStephen Curran Hugh Mangan

Geological Survey of IrelandKoen Verbruggen

Geological Survey of IrelandKoen Verbruggen

EPAShane Colgan

EPAShane Colgan

NRANRA

Marine InstituteMarine Institute


WHO?INTERNATIONAL COLLABORATORS

Mike GoodchildUCSB, USA

Mike GoodchildUCSB, USA

Jonathan RaperCity University, UK

Jonathan RaperCity University, UK

Mike BattyUCL, UK

Mike BattyUCL, UK

Kirsi VirrantausHUT, Finland

Kirsi VirrantausHUT, Finland

John LeonardComputer Science and Artificial Intelligence Laboratory, MIT, USA

John LeonardComputer Science and Artificial Intelligence Laboratory, MIT, USA

Chris BrunsdonLeicester University, UK

Chris BrunsdonLeicester University, UK

Nick ChrismanScientific Director, GEOIDE,

Canada

Nick ChrismanScientific Director, GEOIDE,

Canada

Xiaoling ChenJianya Gong

Lab in Information Engineering, Surveying,

Mapping and Remote Sensing, Wuhan University, People’s Republic of China

Xiaoling ChenJianya Gong

Lab in Information Engineering, Surveying,

Mapping and Remote Sensing, Wuhan University, People’s Republic of China

Lei YanBeijing University,

People’s Republic of China

Lei YanBeijing University,

People’s Republic of China


PDRA and PHD Allocation to Strands WHO?PDRA and PHD Allocation to Strands WHO?

Sensors

Algorithms

Visualisation

LBS

3 PDs

4.5 PhDs

2 PDs

2.5 PhDs

2.5 PDs

4 PhDs

2 PDs

3 PhDs

NCGEE (2)

EE (2)EE/CSNCGEE (0.5)

CSUCD

CSUCDDIT

TCD (0.5)CSNCG

NCGCSTCDUCD

EEDIT

NCG (0.5)CSNCG Cluster

2 PhDs

(funded by

collaborators)


MANAGEMENT STRUCTUREMANAGEMENT STRUCTURE

OversightBoard

Scientific Board

Principal InvestigatorsCharlton McCarthy Ringwood Farrell McLoone McDonald O’Sullivan Bertolotto Carswell Winstanley

DirectorProf A Stewart Fotheringham

IP Committee

Sensors

LeadersTim McCarthyRonan Farrell

SpatialAlgorithms

LeadersMartin CharltonJames Carswell

SpatialVisualisation

LeadersCarol O’SullivanJohn McDonald

Location-BasedServices

LeadersAdam WinstanleyMichela Bertolotto

Cluster Support Team


WHEN?

Timetable

Official Start Date: May 01, 2008

Each of the four Research Strands will have an Expert Meeting between Oct 08 and May 09

Majority of Postdocs appointed in Year 1 with funding up to 5 years

Majority of PhD Fellows appointed in Year 2 with funding for 3 years

Can host visitors, seminar speakers, occasional collaborators etc

Major review before end of Year 3

Will have an official launch event “The Future for Advanced Geotechnologies” in September 2008.


WHEN?

GOALS for the SRC

Become an internationally recognised centre for research in Advanced Geotechnologies

Provide Ireland with HQP in this rapidly growing area

Work with our industry partners to commercially exploit output

Develop working applications of GMEWS

Actively engage international collaborators on research projects

Work as a cluster to act as a flagship for A GeoT in Ireland


SUMMARY

A strong mix of personnel from different departments and different universities across 4 research strands involving the capture, processing, visualisation and dissemination of spatial data

Strong industry and gov. agency support

In a rapidly growing and exciting field of technology

Will generate substantial benefits to Ireland’s geotechnology sector

Has many important application areas

Plenty of opportunity to interact with similar groups in other countries e.g. CASA

Documents

Strategic Research Cluster in Advanced Geotechnologies