Comments (4)
Hi! To segment the road we use a combination of elevation and topographical data. There are two steps:
- Segment all ground points using elevation data;
- Segment road from the ground points of step 1, using topographical maps.
Hope this helps.
from urban_pointcloud_processing.
Thank you so much for replying soon. Is topographical maps already defined where is the sidewalk, where is the pavement? If I don't have topographical information, could I still extract only sidewalk or pavement? Thanks in advance!
from urban_pointcloud_processing.
In our case the topographical map already included this information. If you don't have that data, you'll need other methods. Depending on the resolution of the point cloud you might be able to do some form of edge detection to find curb ramps.
Another possibility is to generate the topographical map from aerial images, for example using this project: https://github.com/VIDA-NYU/tile2net
from urban_pointcloud_processing.
That is really helpful to me, I will try to generate topographical map first. Thank you.
from urban_pointcloud_processing.
Related Issues (20)
- Cannot install "cccorelib" HOT 7
- AttributeError: module 'src.region_growing' has no attribute 'RegionGrowing' HOT 1
- __init__() got an unexpected keyword argument 'grid_size'
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- About Datasets HOT 1
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from urban_pointcloud_processing.