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GTNavi System

CS8803 AIA, Spring 2009. GTNavi System. Hyojoon Kim, Sang Min Shim, Kai Wang, Pingping He. Outline. Introduction Previous / Related Work New Features Technology Demo Challenges Evaluation Future Work Acknowledgement Q & A . Introduction. Lost in Campus.

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GTNavi System

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  1. CS8803 AIA, Spring 2009 GTNavi System Hyojoon Kim, Sang Min Shim, Kai Wang, Pingping He

  2. Outline • Introduction • Previous / Related Work • New Features • Technology • Demo • Challenges • Evaluation • Future Work • Acknowledgement • Q & A

  3. Introduction Lost in Campus.. • Do you know all existing buildings in Georgia Tech? • Do you memorize addresses of all of them? • Do you know all the exact locations, and how to get there? • What about visitors and guests to the campus?

  4. Introduction That’s why we need.. GTNavi System • Navigation application within GT campus • Not driving directions, but walking directions • Mobility – developed in Android • Additional features • Special instructions at special nodes (intersection points) • GTBus integration • New shortest path algorithm, etc

  5. Previous and Related Work • Google Maps Driving Direction Service • Static start point to end point • Driving direction only • Mostly need to know exact address

  6. Previous and Related Work • GT walking path direction service • Web service – no mobility • Simple line from start to end point - no direction explanation • Not a real-time navigator

  7. New Features • 1. Mobility • Mobile, handheld navigation device • No connection needed – easy deployment, high usability • Install, and you’re ready to go! • 2. Walking path • People walking around campus • Guest and visitors, as well as you!

  8. New Features • 3. Flexibility • KML data – easy to update and deploy • Other campuses (it they have their own KML data) • 4. Real-time Direction Service and More! • Left or right turn instructions • Images pops up as you approach • 5. Wiki Page • Wiki page – user shares data about path • contribute to the system!

  9. Technology • 1. KML data and Geo Points • KML file is a way of expressing geological points • XML style

  10. Technology • 2. Drawing on Google map • Extends Overlay Class

  11. Technology • 3. Database System • Data storage and management by SQLite

  12. Technology • 4. Finding the shortest path • Dijkstra's algorithm • Floyd–Warshall algorithm  • Complexity consideration

  13. Technology • 5. Wiki paga • Why do we need it? • How do we want it to be?

  14. Challenges • 1. Memory shortage • Android has limited memory • Dealing with memory efficiently • 2. Runtime Finding path • Dijkstra  O(|V|2+|E|) • Floyd  O(length of the path) • 3. Google Android G1 • No sufficient document  • Getting used to the development environment

  15. Resource • KML Geo. Point data • Android SDK, Android Emulator • Google Map API • MySQL-Lite database • PHP to construct wikipage • DDMS to debug

  16. Evaluation

  17. Evaluation

  18. Future Work • 1. Better wiki page • User picking intermediate nodes • 2. Faster performance • especially when showing all paths and buildings • 3. Scalability • Georgia Tech campus is relatively small

  19. Acknowledgements • Professor Ling Liu • Matt Weber • Myungcheol Doo (congrats!)

  20. Q & A

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