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Parameters
Default Units
Description
groundVoxelSize
0.15
meters
ground voxel size
groundThickness
0.1
meters
ground thickness
smallDistance
0.25
meters
small distance
largeDistance
0.50
meters
large distance
timeSegment
20.00
seconds
Time segment
kaartaFilter4Threshold
0.15
Filter Limit
searchDistance
0.10
meters
object search distance
persistence
2.00
seconds
object persistence
The optional parameters use the same format. “_parameter:=value”.
Add scalar fields to point clouds
– This utility provides an easy way to add additional scalar fields
to Kaarta pointcloud.ply files for use in visualization and filtering to produce cleaner and sharper
point clouds. The results from live scan and Adaptive Data Replay include x, y, z data with time and
intensity. This command line tool generates normals, planarity, curvature, confidence, and four
filtering scalars (KF_1, KF_2, and KF_3) which get used in the point cloud filtering command line
tools below. You can load these into CloudCompare and vary them individually to see how they
affect the overall sharpness of the point cloud. [
NOTE:
Be sure to run any loop closure processes
prior to adding scalar fields as the new scalars are not saved by the loop closure process.]
rosrun pointcloud_cleaning kaarta_cleaning_dialog.sh
This will bring up the following dialog box with two tabs at the top.
The left tab allows you to select the directory and the point cloud and trajectory files to use. The
right tab allows you to select which scalars to generate.