XGRIDS

Prevu3D supports the following scanners from XGRIDS:

• Lixel K1

• Lixel L2

• Lixel L2 Pro

Examples of XGRIDS software for processing:

• LixelStudio

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Data Processing

Export Settings

Step 1: Process the scans

From your LixelStudio, process the scans. Make sure to select “Output panoramic images” in the coloring settings for project processing.

Regarding the point cloud coloring options, follow the best practices from XGrids. Depending on the device model, you might want to choose internal camera or external camera.

Step 2: Gather the required files

After processing the raw data from the scanner using LixelStudio, you will receive a post-processed result folder. All the data you need should be located within this folder. Please refer to the images below for guidance on the file structure and relevant outputs.

Prevu3D requires the following files to process XGrids datasets:

• Pointcloud (.LAS)

• Trajectory (poses.csv or pose_no_offset.csv)

• [Optional] Panoramas (jpg)

• [Optional] Panoramas informations (panoramicPoses.csv)

Click the Open folder of your processing:

There will be three folders: one for the PDF report, one for the processing results, and one for the algorithm logs. Click into the processing results folder (named after your raw data).

Then you will find the result .las file which is the processed point cloud file. The pose.csv & pose_no_offset.csv are the trajectory data. If you have ticked “output panoramic images” in the coloring setting for project processing, you’ll also see a “panoramicImages” folder containing all the panoramas. The panoramicPoses.csv contains the photo info such as timestamp and xyz location and posture (quarternion or row pitch yaw).

Pose.csv or Pose_no_offset.csv

The main difference between pose_no_offset.csv and pose.csv is that one contains absolute coordinates, while the other does not. The pose_no_offset.csv file is only generated when RTK or ground control points are used during post-processing to perform a coordinate transformation. If you want to preserve this transformation, we recommend using pose_no_offset.csv.

Step 3: Import into Prevu3D

The files generated in Step 2 can now be uploaded to Prevu3D.