Aura processes raw scan data into point clouds. The articles in this section give the procedures to process, georeference, refine, and analyze point clouds in Aura. Before processing, select a scan environment and a processing profile that match the scan.
Process
Processing scan data: Process raw scan data into a point cloud with SLAM.
Custom profiles: Save custom processing settings as a profile to use again.
Georeference
Ground control points (GCPs): Georeference a point cloud with surveyed control points.
Real-Time Kinematic (RTK): Georeference a point cloud with RTK data.
Post-Processed Kinematic (PPK): Georeference a point cloud with PPK data.
Check points: Validate point cloud accuracy with surveyed points.
Reprojection: Move a georeferenced point cloud to a different coordinate system.
Refine
Merge: Combine two or more scans into one point cloud.
Colorization: Add color to a point cloud from camera images.
360 panoramic images: Extract 360 panoramic images from a scan.
People masking: Mask people automatically.
Custom masks: Exclude unwanted features from colorization and 360 panoramic images.
Filtering and cleaning: Remove noise and unwanted points from a point cloud.
Measure and analyze
Measure tools: Take point, line, and angle measurements in the viewport.
Convergence monitoring: Compare two scans of the same area to detect and measure changes.