Requires an LP360 Land Basic or higher license.
The SLAM Processing on the Handheld tab opens the SLAM Processing wizard, which allows users to configure settings for Trajectory Processing and Geocoding for handheld lidar and imaging scanners, such as the TrueView GO and other supported handheld scanners.
SLAM - Trajectory Processing Settings
The first page of the SLAM Processing wizard (Figure 1) is used to select the desired processing mode and specify any TGCP (TVGO Control Points) that were collected during the data collection process using the handheld scanner.
Processing Mode
- SLAM: Uses only SLAM algorithms for the reconstruction. Recommended for indoor datasets. It can use a local/arbitrary or a projected coordinate system for the project Coordinate Reference System (CRS).
- GNSS: Will mostly use GNSS + IMU georeferencing information for the reconstruction, however, it may use the SLAM algorithm to enhance areas with poor GNSS solutions. Recommended for outdoor datasets where RTK corrections were not available during the data acquisition. The user needs to select the Geographic Coordinate Reference System (CRS) for WGS84 + Ellipsoidal (Meters), Epoch 2015.
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RTK: Requires RTK corrections recorded during the data acquisition. It will mostly use GNSS + IMU georeferencing information for the reconstruction, however, it may use the SLAM algorithm to enhance areas with poor GNSS solutions. Recommended for outdoor datasets.
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RTK Geographic CRS & Epoch: The user needs to select the Geographic Coordinate Reference System (CRS) of the RTK correction service. Normally, the RTK corrections are based on a Global Geographic CRS (Latitude, Longitude, and Elevation) in meters with an applicable epoch for that CRS. The most common CRS used by RTK services are:
- World: WGS84 + Ellipsoidal (Meters), Epoch 2015
- North America: NAD83(2011) + Ellipsoidal, Epoch 2010
- Europe: ETRS89 + Ellipsoidal (Meters), Epoch 1989
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RTK Geographic CRS & Epoch: The user needs to select the Geographic Coordinate Reference System (CRS) of the RTK correction service. Normally, the RTK corrections are based on a Global Geographic CRS (Latitude, Longitude, and Elevation) in meters with an applicable epoch for that CRS. The most common CRS used by RTK services are:
- PPK: Requires a base station observation file to post process kinematic corrections for the sensor trajectory solution. The user needs to add Base Observation Files that cover the duration of the Cycle and select the applicable Base Station Location from the Survey Nail Manager. Selecting PPK will mostly use GNSS + IMU georeferencing information for the reconstruction, however, it may use SLAM algorithm to enhance areas with poor GNSS solutions. Recommended for outdoor datasets.
- Realtime: Display real-time point cloud data output obtained during the collection.
SLAM - Geocoding Settings - TrueView GO
The second page of the SLAM Processing wizard (Figure 2) contains settings that were previously referred to as the TVGO Advanced Settings in LP360 versions 2025.1 or older. The available settings will vary depending upon the supported handheld scanner Cycle being processed (Figure 3).
Lidar Processing
The Lidar Processing section includes options for the point cloud generation, along with the Scene Types that affect the algorithms used for the reconstruction.
- Point Cloud Optimization: Reduces thickness of the point cloud to make the display of local structures more precise.
- Moving Objects Filter: Will try to clean moving objects from the point cloud.
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Point Cloud Denoising: Removes floating noise within the point cloud. This option may remove some point data in sparse and unevenly distributed areas.
- Note: Recommended when using a TVGO132S. With a TVGO116S, selectively enable based on the scenario.
- Human Filter (TrueView GO NEO): Removes points associated with pedestrians and moving people to improve reconstruction stability in populated scenes.
- Enable Multiple Returns (TrueView GO NEO): Preserves multiple-return behavior during point generation when supported by the sensor/workflow. This can improve representation in vegetation and partially occluded areas.
Scene Type
This setting helps the algorithm to improve the 3D reconstruction. Note: During data collection the user can select the scene type, however, that will not affect the data processing. The scene type selected in this section will be the one used for processing overriding any such setting used during data collection.
Scene Type options may vary depending on the connected scanner family.
TrueView GO options: Indoor (No GNSS), Outdoor (GNSS), Mixed Indoor and Outdoor, Narrow, Closed Spaces, Sparse in Features.
TrueView GO NEO options: Auto (recommended), Indoor, Outdoor, Narrow.
Always select the mode that best matches the dominant environment for the processing run.
- Indoor (No GNSS): will be automatically selected if the user selects the “SLAM” processing mode. Recommended for indoor areas.
- Outdoor (GNSS): will be automatically selected if the user selects "GNSS", “RTK” or “PPK” mode. Recommended for Outdoor areas with GNSS reception.
- Mixed Indoor and Outdoor: Recommended for projects with areas both outdoor and indoor, where most of the work is done outside with GNSS reception, however, there will be small areas surveyed indoors without GNSS reception.
- Narrow, Closed Spaces: Recommended for indoor corridors or narrow spaces.
- Sparse in Features: Recommended for datasets with few vertical objects and a lot of open spaces. The algorithm will need to use the ground heavily as a reference as there are not a sufficient number of features to use for the SLAM algorithm.
Laser Filter Settings
Filter settings can be used to help prevent noise, lower accuracy, or unwanted points from being generated in the point cloud. Similar filters may also be applied later in LP360 to remove the points from a generated dataset.
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3D Distance Filtering (m): Filters point cloud based on the distance from the scanner to the point.
- Minimum (0.5~10.0)
- Maximum (5.0~120.0)
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Intensity Filtering: Filters point cloud based on intensity.
- Minimum (0~65535)
- Maximum (255~65535)
Photo Processing
- Remove Uncolored Points - Not typically recommended but can be useful to reduce data density and remove points at the ends and edges of scan lines as it will remove any points that could not be assigned a color.
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Update Photo Exif Tags - Recommended to create True Pose Photos to enable the Image Explorer
, the Immersive Image Explorer
, Modeling
, and other downstream uses of the photos.
Use Street View Photos - available when the TVGO is equipped with a TrueView GO 360 Photo Kit. Processes the Insta360 imagery for use in the Immersive Image Explorer , and other downstream uses of the photos.
Learn more about how to use the Insta360 with the TVGO.
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Enable the "Use Street View Photos" checkbox to include street-level imagery in your SLAM processing workflow. Note: This is conditional on the hardware and an LP360 Land Standard license.
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Device Type: Select the appropriate device type from the dropdown menu based on your camera system:
- Panoramic - Use this option for standard panoramic camera systems.
- Dual FishEye - Use this option for dual fisheye camera systems. Select "Dual FishEye" if you plan to generate Gaussian Splat outputs.
Learn more about Modeling for Generating Gaussian Splats
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Device Type: Select the appropriate device type from the dropdown menu based on your camera system:
Note: The Device Type setting determines how the imagery will be processed and integrated with your SLAM data. Ensure you select the correct option that matches your camera hardware.
Minimum Recommended Configuration
- NVIDIA RTX 3050 Ti or equivalent
- Intel Core i7 and above CPU
- 32 GB system RAM
Production Recommendation
- NVIDIA RTX 4070/5070 class GPU or better
Learn more about LP360 GPU Recommendations and Graphics Hardware Guidance
Colorization Method
- None: generates a point cloud without any color assigned.
- Fast: Recommended for a colorized point cloud.
- High Precision: is a highly intensive colorization that better preserves the real colors of features; however, it is time-consuming and can only be run on higher end graphics cards.
Minimum Recommended Configuration
- NVIDIA RTX 3050 Ti or equivalent
- Intel Core i7 and above CPU
- 32 GB system RAM
Production Recommendation
- NVIDIA RTX 4070/5070 class GPU or better
- 12+ GB VRAM
- 64 GB system RAM
Learn more about LP360 GPU Recommendations and Graphics Hardware Guidance
Model Processing - TrueView GO NEO
Availability of these options may depend on hardware capability and licenses and 3D Mesh Modeling add-on and the 3D Gaussian Splats add-on in LP360.
- Create Gaussian Splat: Generates Gaussian splat outputs for immersive scene visualization workflows.
- Create 3D Mesh Model: Generates a mesh model product from the processed dataset.
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Quality: Select
Fastfor quicker turnaround orHighfor higher-detail mesh generation. - Output Folder: Define the destination folder for each generated model output.
🆕 SLAM - Geocoding Settings - Terra SLAM Trinity
*Introduced in v2026.2
Applicable to the Terra SLAM Trinity, Hi-Target V700 SLAM RTK, or SatLab SL9 SLAM RTK.
🆕 Lidar Processing - Terra SLAM Trinity
*Introduced in v2026.2
Controls how the point cloud is processed during geocoding of Cycles acquired by a Terra SLAM Trinity, Hi-Target V700 SLAM RTK, or SatLab SL9 SLAM RTK handheld scanner.
- Default Settings – Uses pre-configured processing parameters (selected by default).
- Custom Settings – Enables the options below for manual control:
- Point Cloud Denoising Level – Removes noise from the point cloud. Options range from Off to increasing levels of aggressiveness.
- LAS Export Version – Sets the LAS file format version for output (e.g., LAS 1.4).
- hlz Format – Configures the HLZ (height layer zone) format. Set to Off by default.
- Use Point Cloud Smoothing – Applies a smoothing pass to reduce surface roughness.
- Generate Photos and Photo Poses – Outputs camera images and their corresponding pose data alongside the point cloud.
- Apply Point Cloud Coloring – Colorizes the point cloud using the available imagery.
🆕 Model Generation - Terra SLAM Trinity
*Introduced in v2026.2
Optional section for generating a model from the geocoded Terra SLAM Trinity or HiTarget SL9 data.
- Model Generation (checkbox) – Enables model generation output. When checked, the Settings group becomes active:
- Directory – Path where the model output is saved. Defaults to a subdirectory under the <LP360_PROJECT_PATH>, organized by cycle date/time (e.g., <LP360_PROJECT_PATH>\Area_\Cycle_YYMMDD_HHMMSS\RawData\<timestamp>\image).
- Require Center – When checked, requires a defined center point for model generation.
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