This is the implementation of the Voxelnet algorithm to detect 3D objects using point cloud data, image data and calibration using a LiDAR sensor. The Voxelnet.ipynb file is the process from downloading the Kitti Dataset to cropping it to fit our current algorithm using the crop.py file. Note- We need to make sure we change the directories in the python file, according to our local machines, before running the code.
-
Notifications
You must be signed in to change notification settings - Fork 0
doomsday4/Object-detection-using-LiDAR
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This is the implementation of the Voxelnet algorithm to detect 3D objects using point cloud data, image data and calibration using a LiDAR sensor.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published