Skip to content

Instantly share code, notes, and snippets.

@fx86
Last active June 4, 2021 10:16
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save fx86/4dea16ffd82ea9b46f46a4ab365728bf to your computer and use it in GitHub Desktop.
Save fx86/4dea16ffd82ea9b46f46a4ab365728bf to your computer and use it in GitHub Desktop.
Object identification methods for LiDAR point clouds
Libraries:
- [SFA3d](https://github.com/maudzung/SFA3D)
- Laspy (library for reading LiDAR data)
- [Pypetree](http://cjauvin.github.io/pypetree/)
- https://pypi.org/project/lidar/
Related links
- What is point cloud data ? https://en.wikipedia.org/wiki/Point_cloud
- https://towardsdatascience.com/point-cloud-data-simple-approach-f3855fdc08f5
- [(Medium) Essentials of LiDAR data processing](https://geospatialawarenesshub.com/blog/essentials-of-lidar-point-cloud-processing-using-python/)
- [Paper behind Pypetree, published in Sensors(2014)](https://www.mdpi.com/1424-8220/14/3/4271)
- [Lidar 3d object detection methods (Mohammad Sanatkar)](https://towardsdatascience.com/lidar-3d-object-detection-methods-f34cf3227aea)
- SFA 3D - https://github.com/maudzung/SFA3D
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment