Week Viii

1. Week Viii Malcolm Collins-Sibley Mentor: ShervinArdeshir

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