Ruixian Made Portfolios

1. Typography City
2. Generate Visualizations LADV
3. Generate Geospatial Storytelling
4. Sensing City
5. Uber Sharebility
6. City Ways
7. Sensing Vehicle
8. Volkswagen Collaboration 
   
9. Global Education Expenditure
10. SF Food Vendor Visualization
11. Italy Credit Visualization
    
12. NewYork Bike Station
    
13. Cab Ruter
    
14. Nutri-V
    
15. Food-Bomb
    
16. Foresight
    
17. Trip Track
18. DeepSpace
    
19. City Runner
    

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Deep Space 2017
Global Position Systems and other navigation systems carried on by people and distributed in space have changed the way we navigate complex environments. Despite the gains of such technologies, underlying these navigation systems is the dismissal of the human wayfinding ability based on visual recognition of spatial features. DeepSpace uses Deep Convolutional Neural Network (DCNN) to recognize and interpret discrete features of indoor spaces.

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