Urban_PointCloud_Processing
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Amsterdam-AI-Team
Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
https://github.com/Amsterdam-AI-Team/Urban_PointCloud_Processing/blob/6f94faece4a0d81669b22f492be761e3eb34332b/src/upcp/fusion/pole_fuser.py#L207-L208 This should be: ``` clusters = self._find_point_cluster( points, c_prime, ground_z + seed_height, max_r=max_r) ``` where `ground_z` should probably be a summary / average around the target object.
There is a bug in the AHNFuser for ground that sometimes causes large parts of ground to be unlabelled. If you notice this happening, for now it can be prevented...
HI, teacher, I am a beginner of python and segmentation. I was wondering how did you define a road using elevation, like region growing? Here is the function I was...
This is due to the fact that a subset of points is queried for AHN interpolation, while the interpolator expects the full set for caching purposes. A temporary fix is...
- Store all geodata as .gpkg instead of .csv. - Modify all code to work with this data directly. - Will save a whole bunch of conversions between csv, arrays,...
Interpolating the full AHN ground estimate tiles to fill missing data would potentially solve some issues. Considerations: - This is always an approximation. - This will fail for bridges. -...
Bridges are a special class in AHN data, and as such are not seen as ground. This causes them to not be labelled in the point cloud. We should find...
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Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.