Aura processes scan data into point clouds and provides workflows for refining, georeferencing, merging, and analyzing them.
This section covers:
Processing Profile: Selecting a built-in profile for SLAM, GCP, merge, colorization, or 360 image extraction.
Creating a custom profile: Saving custom processing settings as reusable profiles.
Check Points: Using surveyed points to validate point cloud accuracy without affecting georeferencing.
Process scan data with Ground Control Points (GCPs): Georeferencing scans against surveyed control points.
Merge Workflow: Aligning and combining multiple scans into a single point cloud.
Reprojecting Point Clouds: Transforming a processed point cloud to a different coordinate reference system.
Generating 360 Panoramic Images: Extracting and registering 360 images from scan-captured video.
Change Detection and Convergence Monitoring: Comparing two scans of the same area to detect and measure changes.
Measurement Tools in Aura: Taking point, line, and angle measurements in the viewport.
Custom Masks for Colorization & 360 Image: Creating image masks to exclude unwanted features from colorization and 360 image extraction.
Aura scan environments: Selecting a scan environment for optimized default processing settings.
Processing scan data: Running SLAM processing on raw scan data to produce a point cloud.