LiDAR Point Cloud Data

LiDAR point cloud data is a 3D dataset captured using a LiDAR (Light Detection and Ranging) sensor. It represents real-world surfaces as a dense collection of spatial points.

Each point may include:

• X, Y, Z coordinates (3D position)
• Intensity (surface reflectivity)
• Optional classification (ground, building, vegetation, objects)

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How to Import LiDAR Point Cloud Data

1. Go to the File menu from the menu bar.
2. Click Import from the dropdown list.
3. Select LiDAR Point Cloud from the import options.

An import window will appear:

1. Select the location of the .las file.
2. Choose the file format (.las / .laz) from the format dropdown (bottom-right side).
3. Click Load.

Load LAS/LAZ Point Cloud import window

After loading, the LiDAR point cloud will open in the workspace.

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Warnings

Warning

• LiDAR point cloud may not be visible in Translucent View.
• Use Light Theme for proper visibility of point data.
• Do not interrupt the import process while data is being loaded.

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Recommended Workflow (with Other Reference Data)

If importing multiple datasets together, follow this order:

1. Load existing map (if available)
2. Import LiDAR Point Cloud Data
3. Import GeoJSON Data
4. Import GeoTIFF (TIF) Reference Image

All datasets will align correctly only if they share the same coordinate system.

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Recommended Verification

Note

After import:

• Verify LiDAR point cloud aligns with the road network
• Ensure consistency with GeoJSON features
• Confirm correct spatial relationship with reference imagery
• Validate overall layer overlap before editing

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Related

• Sensor data — camera imagery, trajectory, and combined sensor folder workflows.
• GeoJSON — vector reference layers aligned with point cloud data.
• Reference Image — raster backdrop for spatial verification.
• HERE to OpenDRIVE (XODR) — conversion pipelines after reference data is loaded.