3D Map Visualization & Path Finding sponsored by ASELSAN.

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Presentation transcript:

3D Map Visualization & Path Finding sponsored by ASELSAN

ilda A friend in need is a friend indeed. /* A friend in need is a friend indeed. */ Latin Proverb Ay ş en Unur Betül Altay Devil’s Advocate Optimist information seeker Semih Özcan Murat Tonbulo ğ lu The initiator

Adventure continues What did we do? (briefly project topic) How did we do? (methods / approaches) What did we do with? (technologies) What are we doing? (current state) What will we do? (future work)

Search & rescue teams Their performance is vital! They need: time, point and direction to go. They need to be encouraged, helped. FTL will help them.

3D map Paths on land Countless different paths Fastest path Depends on vehicle & weather Paths for also air … What did we do?

interface 1

interface 2

interface 3

interface 4

Smart phone version

How did we do?  Algorithm Component Vector map of DTED Dijkstra algorithm (modified for “fastest path”)  Map Visualization  Android Interface

Digital terrain elevation data

Vector map (target area)

Vector map (fastest path)

Dijkstra algorithm (modified) …finds “shortest” path Side view of map Path length height …finds “fastest” path Path time = Path length / (velocity of vehicle depending on height) 1212 m 1235 m 30 m

Map visualization

What did we do with? Eclipse Java Android 2.1 OpenGL ES Tablet Smart phone Android emulator

What are we doing? Algorithm component is totally finished Map visualization User Interface are partially finished. Touch movement actions Integration completed }

What are we doing? We have contacted with AKUT at Isparta. They have visited our stand at Süleyman Demirel University Project Competition. We have exchanged ideas about usability of FTL. Moreover, our project was awarded 2nd place in 55 different projects.

What are we doing?

What will we do? Bugfixes Preventing memory overflow Proper working of movement actions Bluetooth connection between tablet and smart phone Texture mapping of satellite photos over 3D map Improving performance of algorithms Enlarging map if Android allows Path for helicopter