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GTNavi System

The GTNavi System is an innovative navigation application designed for the Georgia Tech campus, focusing on providing walking directions rather than driving routes. Developed for Android devices, it offers features like real-time direction services, integration with GTBus, and a user-friendly interface that allows visitors to easily navigate campus. Utilizing KML data and advanced algorithms, GTNavi ensures efficient pathfinding and adaptability for other campuses. Key challenges include memory management and performance optimization, with future work aimed at enhancing user contributions and system scalability.

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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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