The Geolocation Landscape
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The Geolocation Landscape

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“The Geo-Location Technology Landscape”...

“The Geo-Location Technology Landscape”

In this workshop attendees will get an overview of Geo-Location Technologies and the value proposition they offer in emerging markets and applications.

We will give insights into the capabilities of these technologies as they are currently being used and provide thoughts on their likely evolution and future use. For example, the growth of smart phones with geo-location abilities is transforming industries ranging from advertising to disaster response. We will look at are some of the enabling geo-technologies involved in creating applications for these emerging use cases.

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  • 1. Geo-LocationTechnology Landscape Shoaib Burq and Kashif Rasul http://spacialdb.com http://bit.ly/geolocation-feedback
  • 2. About usKashif Rasul (CTO http://spacialdb.com) Doctorate in Maths. from FU Berlin Background HPC and Scientific Viz. http://hpc.nomad-labs.com twitter: krasul
  • 3. About usShoaib Burq (CEO http://spacialdb.com) Geomatics and Computer sciences Australian Government http://geospatial.nomad-labs.com twitter: sabman
  • 4. GeoWeb
  • 5. Tech. stack that enables this• Hardware• Software• Web2.0
  • 6. This talk• Software stack for developers• Attributes of Hardware positioning tech.• Define market sectors• Define LBS value chain• Discuss positioning tech. in this value chain• Talk about future trends & innovations
  • 7. Software: GeoStack
  • 8. Software: GeoStack Core• OS layer: prefer real time OS• Low level libs: networking/routing protocols• SDK for device
  • 9. GeoStack: Base Libs• Reading geo data: GDAL• Spatial queries: GEOS• Map projections: Proj4• Rendering: Mapnik
  • 10. GeoStack: DB• SQL: from Oracle, Postgis, MySQL, etc.• NoSQL DB: MongoDB and geo-couchdb• Hosted: SpacialDB
  • 11. GeoStack: Server• Web frameworks: Georuby, GeoDjango,...• Desktop apps: QGIS, GRASS,...• Analysis frameworks: R-Stats, ESRI ArcEngine• Application Servers: Geoserver, Mapserver
  • 12. Attributes of Location Technologies
  • 13. Coverage
  • 14. Accuracy
  • 15. Speed
  • 16. Reliability
  • 17. Power
  • 18. Cost
  • 19. Privacy http://www.flickr.com/photos/dalantech/2349477313/
  • 20. Market Sectors• Consumer mobile and LBS• Telematics• Outdoor activities• Government and NGOs
  • 21. Ptolemus Consulting Group
  • 22. Market PenetrationTotal mobile device sales 2010 by Gartner Feature Phones Smartphones 19% 81%
  • 23. US Smartphone Penetration & Projections90%72%54%36%18% The Nielsen Company0%2008 Q2 2008 Q3 2009 Q1 2009 Q3 2010 Q1 2010 Q3 2011 Q1 2011 Q3 Feature Phone Smart Phone
  • 24. Sub Sectors
  • 25. Shopping• Coverage :-(• Accuracy :-(• Speed :-|• Reliability :-|• Power :-)
  • 26. Social networks and gaming• Coverage :-)• Privacy :-(
  • 27. Advertisement• Coverage :-(• Accuracy :-|• Privacy :-(
  • 28. Indoor• Coverage :-(• Accuracy :-(• Speed :-)• Reliability :-(• Power :-(• Cost :-(
  • 29. Summary of LBS• Coverage: is still wanting due to the indoor nature of mobile device applications?• Accuracy is not perfect either...• Speed similarly lacking for some subsectors• Reliability: not being used enough for concern yet small % of markets• Power: Battery life still an issue, and needs further innovations
  • 30. Telematics Industry
  • 31. Rest of this talk• Telematics value chain/proposition• Technology Stack• List Telematics sub-sectors • Maturity of sub-sector • Current limitations • Broader trends • Potential innovations re. positioning
  • 32. Technology Stack• Core• Device/OEM• Communication• Service provision• Software Application & Content• Web
  • 33. Telematics Technology Stack• Core • Location Enablers • Operating Systems • Geospatial content providers
  • 34. Telematics Value Chain TelematicsContent Comm. Service CarProviders Infrastructure Consumer Providers Makers (CP) (TSP)
  • 35. Value Proposition• Consumers - Safety & Security, - Time Savings - Increased Productive - Entertainment
  • 36. Value Proposition• Fleet provider - Optimisation of assets
  • 37. Value Proposition• Car makers - Additional data from vehicles - Increased vehicle sales
  • 38. Value Proposition• Government - Infrastructure planning & management - Revenue
  • 39. GeoData Providers
  • 40. Floating Vehicle Data
  • 41. Data Source Analysis Distribution Algorithms for: Car companies SMSPositioning via: - Real-Time Traffic- GPS Mobile navigation Web- Cellular - Routing- Sensor/E-Tags - Logistics Support OEM 3G - Tracking Services Re-route to avoid congestion
  • 42. Telematics Sub-Sectors• In-car Infotainment• Intelligent Vehicle Safety• Commercial Vehicle Telematics• Risk Management
  • 43. In-Car Infotainment
  • 44. In-Car Infotainment• TV• Radio• Internet• LBS• Navigation• Social Network
  • 45. The Connected Car• BMW connected drive• Mini connected• Ford’s Sync API for developers
  • 46. Expected Trend• Single device e.g. Android, iOS• Opening of API to developers• Network connectivity in increasing• Real-Time
  • 47. Expected Trend ...• 3G & 4G coverage on rise• Integration with home/back-office systems• Information products mixing UGC, social networking
  • 48. Expected Trend• Richer geospatial data • 3D data • Photogrammetry Intermap
  • 49. Intelligent Vehicle Safety (IVS)
  • 50. Expected Trend• Automatic emergency notification• Reporting accident location• E112 location integration
  • 51. Commercial Vehicle Telematics (CVT)
  • 52. Expected Trend• Integration of sensors (smart containers)• Improve in-transit visibly esp. multi-modal• Solutions for high value cargo (environmental sensors, RFIDs)• Real-Time routing of cargo• Electronic Data Interchange
  • 53. Risk Management
  • 54. Expected Trend• Usage based insurance• Pay as you drive (PAYD)• Real-Time driver data
  • 55. Overall Future Trends
  • 56. Enabling Technologies• Next Generation Telematics Pattern (NGTP) Standardisation• 4G mobile broad band network• Open API for telematics sensors
  • 57. Thank you checkout our workshop too http://georuby.comDr Kashif Rasul kashif@nomad-labs.com t: krasul Shoaib Burq shoaib@nomad-labs.com t: sabman