1. Malcolm Collins-Sibley Mentor: Shervin Ardeshir
Week Viii
Malcolm Collins-Sibley
Mentor: Shervin Ardeshir

2. project
Use information from map and satellite images to project data such as addresses and streets on to the screen that the user is observing
Use semantic segmentation to over lay this information in a meaningful way

3. Framework so far

4. Steps so far
Starting Image

5. Steps so far
Initial Projections from GIS Data

6. Steps so far
GIS Projections with the addition of horizon calculations

7. Steps so far
Full visualization of projections, also labeling the center of each building

8. Steps so far
Initial Segmentation results

9. Steps so far
After 7 iterations of the Projection Segmentation fusion code

10. Steps so far
After thresholding the fusion results

11. Steps so far
Address for each building in the frame

12. Steps so far
Projecting the names of near by streets

13. Steps so far
Street Names aligned with GIS position

14. This week

15. Completed work
More dense street grid data

16. Completed work
Group street points based on street name

17. Completed work
Single out street points that are in the field of view, occlusion handling

18. Completed work
Project street names

19. Completed work
Create binary maps for street location

20. Completed work
Binary Maps

21. Completed work
Binary Maps

22. The next step Generate new dense grid for the whole data set
Generate binary maps for streets in the whole data set
Fusion between segmentation, and street projection only
Solving fusion optimization between segmentation, building projection, and street projection jointly