General

• Resolve case sensitivity problem when importing spherical images
• Optimize point cloud selection to improve performance and reduce resource usage

General

• Export to Autodesk ReCap format (.rcp), including spherical images.
• Ability to create a Surface from selection or fence.
• Spherical images: Units and projection conversion.
• Multiple user experience improvements.

Analysis

• Catenary/Power Lines: Enhanced detection and vectorial object generation.
• Catenary/Power Lines: Span view and distance to ground analysis.
• Catenary/Power Lines: Interactive edition and productivity increase.
• Road Marking: Enhanced detection and vectorial object generation.

Deep Learning

• New PyTorch implementation with general performance boost.
• Ability to resume, fine-tune, and create models based on pre-trained models.

Tools

• Images-to-scan: Map view, image selection and streamlined user experience.

Several corrections have also been applied to this version.

General

• Export Object panel elements (surfaces, meshes, cylinders and trees) in DWG format from Autodesk.
• New CAD viewer with “Realistic view” and “3D Orbit” navigation option when exporting DWG file format.
• Enhancement on camera position and view direction on VisionLidar map interface.
• New class grouping module allowing to organise your classes and create named groups with class number of your choice providing a better use of the full 256 class range.
• New scan grouping module allowing to organise scans with named groups.
• Enhancement on the Fence tool to better keep fences position in a project when changing computers.
• Enhancement on the IFC (BIM) module to have access to VisionLidar internal elements.
• Compatible with new SDK Faro LS 1 1.905.1 (for FLS, LSPROJ and Workspace) when creating a new project.
• Export VisionLidar class definition when saving in RCP format using new Autodesk Recap class definition.

View

• Compatible with the spherical images "Applanix.txt” positioning document from the Applanix mobile platform.
• Updated Viametris spherical images file position allowing the usage of their new multiscan equirectangular jpeg names output.
• Enhancement on spherical images view when combining point cloud and bubble view as well as Image disks.

Analysis

• Improved "Analyse Section" function, allowing finding, and creating sections by elements on a class along an alignment path.
• Improved “Analyse Profile" interface.

Several corrections have also been applied to this version.

General

• New external object insertion module for greater control (point of origin, units, etc.) over inserted 3D elements such as “.OBJ” or “.PLY”.
• New tool for creating the colored mesh from the point cloud color (under Surface tab).
• Export colored mesh in "PLY" format.
• Possibility of transferring a mesh from the "Surface" tab to the "Inserted objects" tab, allowing you to modify the object's origin and move it within the scene.
• RCP format export option allowing the usage of scan concept to distribute point cloud from each class and thus have control of classes on Autodesk products.
• Addition to the list of sensors, several camera models compatible with the “Image to scan module”.

View

• Extract spherical images from E57 exported from the IVION platform from NavVis mobile solution.
• Compatible with the spherical images "pano-poses-registered.csv” positioning document from the NAVVIS mobile platform.
  
  

Analysis

• Improved "Analyze Section" function, allowing you to create sections between two points, according to the nodes of an alignment, or by analyzing point cluster on a class.

Deep Learning

• Use of partitions when directly classifying LAS files using AI (from New Project or Classify LAS).
• Use of corridors when classifying by DL which allows to process only desired areas.
  
  

Several corrections have also been applied to this version.

General

• New option allowing us to apply our powerful Neural Network classification module while creating a new project coming from LAS scans format ("New project" function).
• New option to create colored meshes from the point cloud.
• Option to copy or move the mesh or surface to "Inserted objects" allowing the relocation of the mesh over the 3D space .
• Set up the camera position view to improve the visualization of shading on surfaces.
• Rapid inversion of the surface normals.
• Import surfaces from DXF file format.
• Improved projection and unit inputs during project creation.
• Creation of a contour line delimiting the project on the map and on VisionLidar365

View

• New display function by normals which can be applied when point clouds have neither intensity nor RGB display information.
• Improved display for mesh shading areas.

Analysis

• Option to transfer Cogo points or lines with Feature Codes from the following functions: "Cluster detection", "Catenary detection", "Edge detection", "GuardRails detection" and "Pavement Markings".
• Option to transfer to Cogo type points with Feature Code, Trees or Cylinders type objects.

Deep Learning

• Improved interface for visualizing results from processed or unprocessed partitions.
• Enhanced version of the events reported in the Log Section.
• Option to classify within a selected corridor.
• New Deep Learning classification batch process made directly on LAS files allowing to keep third party attributes intact.

Several corrections have also been applied to this version.

General

• Registration by list now possible with the point cloud format compatible with VisionLidar 365.
• Point-to-point registration now possible with point cloud format compatible with VisionLidar 365.
• Point-to-point registration with external file now possible with point cloud format compatible with VisionLidar 365.
• The “Move Origin” option is now enabled with point cloud format compatible with VisionLidar 365.
• New option to add several OBJ-type volumetric object files to the 3D scene via a position file.

Edit

• Eraser function is now possible with the point cloud format compatible with VisionLidar 365.
• Classifier function is now possible with the point cloud format compatible with VisionLidar 365.

View

• Improved the function of coloring the point cloud project by spherical images with the addition of new parameters.

Analysis

• Improvement of the Aerial Classification tool in order to clean up some residues of the classification by Deep Learning.

Survey

• Addition of a function to update null elevations (equal to zero) on the Cogo points attached to your database. The function will take the average of the elevation of the active point cloud (class(es) displayed) at the location of the Cogo points (x y) and insert this value in the z field when it is equal to 0. Any Cogo points that already have an elevation value will not be impacted.
• New 3D Land Parcels visualization function allowing you to select and graphically represent on your point cloud (and the location map), any Parcels present in your database.

Deep Learning

• New interface adding a graphical representation of partitions.
• Chromatic representation of partitions already processed.
• Addition of a “Log” section describing processing status.

Settings

• New tool allowing to update certain fields of the original LAS file(s) being used to create a VisionLidar project. This function allows you to select the attributes to update such as, 3D coordinates, RGB color or classes and connect to the original file and replace them with the new values processed by the different Vision Lidar functions such as classification by Learning deep.

General

• New Format (2022) compatible with the VisionLidar 365 a Geo-plus secured Web platform for point cloud solutions. VisionLidar remains compatible with previous local format (.vps). No duplication data for the Web or desktop platform anymore.
• Simplified project creation interface allowing “Drag and Drop” of raw files.
  New interface to visualize EPSG or ESRI projection code entered.
• 256 classes are now supported (same as LAS 1.4).
• New option to regroup files when merging scans during project creation.
• Export LAS 1.4 file format with 256 classes.

Edit

• Enhancement on the Fence tool Starting to pick when a new fence is created. New option to select inside the fence or export the fence area data for training.

Analysis

• Edge detection is now part of VisionLidar Premium
• Pavement Markings detection is now part of VisionLidar Premium
• New option to define specific boundaries on Planimetric Orthophoto function.

DNN

• Progress bar implemented for Deep Learning classification, for better tracking of the progression for the overall process.
• Multi progress bar available for computers with multi-GPU cards allowing monitoring process progression for each individual Card.
• Progress bar implemented for Deep learning training module.
• Log created to monitor system processing.

Settings

• Projection is now described in addition to the Code.

General
• Correction when importing intensity for PTS and CSV type files.
• Optimized selection of the projection code now listed by EPSG code or ESRI code.
• Export of visible classes to the VisionLidar365 format.
• Correction when points are deleted, they are no longer exported.
• Export to Potree 2.0 format, thus increasing the speed of exporting and concatenating files into a few binary documents.
• Ability to export VL365-viewer.exe viewer when exporting to VisionLidar365 format.
• Significant increase in performance when creating projects by using the Multiprocessor option (Multicore).
• Possibility of simplifying the density of the point cloud from the creation of the project.
• New import format (Workspace "* .fws") for file from FARO systems. This format is in addition to the already existing format "* .lsproj" and "* .fls.
• Ability to export pole vectorization when no power line is vectorized.

Tools (new menu)
• 3D representation of the results from the Volume Calculation module.
• Classification module by Neural Network (Deep Learning).
  a. Compatible with more recent versions of NVIDIA CUDA 11.x drivers (TensorFlow 2.0).
  b. Possibility of creating models trained by Geometry (in addition to the RGB and Intensity models).
  c. Possibility to adjust the simplification distance and the neighborhood radius when creating trained models (important for aerial models).

General
• Importing external surfaces or mesh objects with real location (ply and obj format).
• More than 2 000 ESRI projections have been added to the EPSG list
• Delete button has been moved away from add or edit buttons to avoid confusion (on all functions).
• New buttons on the toolbar to visualise Spherical images: Show, Next and Previous images.
• Enhanced speed in project creation.

Edit
• Simplify: Spherical images now follow the newly created simplified project.
• Clipping box: rotation handles problem fixed

View
• New map interface to visualize your project and spherical image locations on an OpenStreetMap, if your project is georeferenced.
• Launch spherical images visualisation directly from the map interface.
• Spherical images are now compressed when Enforced valid size is used.
• Indexing spherical images with scan numbers id.is now available with E57 project creation.
• Planar images from Leica Pegasus system can now be loaded and visualized with your point clouds.

Survey
• Fix on export Points/Lines in KML format.

Tools (new menu)
• Fix on IFC to OBJ module.
• Classification module by Neural Network (Deep Learning).
   a. Performance enhanced.
   b. Classification name can be transferred to VisionLidar from selected trained model.
   c. Trained model now shows if it has been built with intensity or RGB.
   d. Project partition is now available for single Nvidia GPU computer to enhance GPU memory usage.
   e. Train a model: fix on copying all files to the correct location to be read by the classification module.
• Performance enhanced on Image to scan module.

Updates
• Character “-“ is again accepted in project naming when creating new projects.
• Translation/Rotation of scans now correctly apply rotation on a pivot point.
• Deep learning Classification module is now accessible with a VisionLidar Ultimate licence.
• Processing time reduced on Deep Learning Classification for VisionLidar Project in Feet.
• Fix when using Deep Learning in CPU mode

Tools
• Neural Network (Deep Learning) Classification module can now split large VisionLidar projects into partitions for better GPU memory management.

General
• Database structure update augmenting efficiency and speed during re-indexation.
• New « Point Info » tool to get more information on a specific point.
• New UDP Connection protocol that allows to share last point clicked position with compatible software.
• Enhanced fence tool now allowing naming different views and store them for further use.
• Clipping box normalization for all module using it.
• Ability to save Class naming definition and load them.

Edit
• New advanced selection tool allowing selecting point clouds.
   o by dragging a window,
   o drawing a polygon,
   o use a point radius,
   o by cluster detection according by predefined criteria.

View
• Now register projects with Spherical images included (Translation applied to each image).
• Automatic detection of camera height from possible ground (Spherical Images).
• Indexing spherical images with scans numbers id.
• Now compatible with spherical images from Pegasus mobile mapping system from Leica.
• New tool to convert spherical images in other format and size.
• Now Intensity updated on the second section window.

Analysis
• New tool for automatic detection of catenary wires and electric poles from selected classes.
• New Clash detection tool using multiple distance and analysis shapes (catenary vs trees).
• New edge detection tool with new algorithms which allows to detect edge by one click, two click (indication bearing) or multiple line (one click per edge line).
• New manual cylinder creation using 4 clicks.
• New Road Marking detection algorithm tool allowing the use of trajectories.
• New Crash Barrier detection tool.

Survey
• Pick points/lines now allows you to see group of chains stored in the database.
• Button getting the next line number.

Classification
• New algorithm for classifying aerial lidar data by.
   • Returns matching,
   • Voxel analysis,
   • Grid analysis.
• Ground, vegetation and building classified in one pass.

Tools (new menu)
• New interface combining Ground Control Points matching window and project creation for “Image to Scan” module.
• New classification module by Neural Network (Deep Learning).
   a. module allowing classification with a trained model (natural soil, modified soil, high, low vegetation, post, catenary, car etc.).
   b. Trained model creation module that allows users to create their own model according to their own criteria or classification.
   c. Module for creating point cloud annotation files for training purposes.
   d. Function allowing segmentation of the project to distribute the classification process on different CPU or GPU of a device.
• New Classification by Color module (“Color to Class”) for spherical and planar images.
   a. Module allowing to select points from a point cloud file by a user picking a color definition from a pre annotated images. All points correlating with the images will be classified to the defined class.
• New IFC to OBJ conversion tool for IFC created via BIM module from VisionLidar. Resulted OBJ is thus compatible with VisionLidar 365 web platform.

General
• New point cloud storage format built to an SQLite database. Increase compression ratio 3 to 5 times.
• Improved project creation user interface including advanced settings access.
• New orthographic point clouds view mode in addition to the perspective
• Implementation of a cross-platform software solution compatible with Linux and macOS
• GPS time and number of returns now loaded in point clouds structure and metadata.
• Ability to save Class naming definition and load them
• Now export in LAS/LAZ 1.4 (default) and 1.2

Edit
• New selection tools to clean or classify data (Eraser, Classifier) inside a specific area defined by a cube or a sphere.

View
• Improve of speed on spherical images management interface. Now you can create an alignment from images trajectory.
• New point information tool that allows to get some metadata from the point selected.
• New Surface Cursor tool to modify cursor interface, Normal, pick on surface, planimetric disk, 2 plans surface, 3 plans surface.

Analysis
• New classification tool using returns number to classify aerial lidar data (when number of returns are available from Las/Laz)
• Improved algorithm Sidewalk detection with possibility to use a trajectory and alignment. Spline option available.
• New Edge detection for vertical and horizontal edge (one click or multiple lines by multiple single click).
• New Road Marking detection algorithm tool allowing the use of trajectories.
• New Crash Barrier detection tool.
• New option to define specific boundaries on Planimetric Orthophoto function.
• Manual insertion of tree location (DBH and center of tree location detected by 4 clicks)

BIM
• Copy and duplicate components from a level to a different level or multiple ones.
• Import groups (opening library) from VisionLidar IFC.
• Height of a wall adjusted to level picked.
• Load project button when multiple BIM design for a VisionLidar project.

Survey
• Pick points/lines now allows you to see group of chains stored in the database
• Button getting the next line number.

Settings
• New improved setting structure and interface.

Tools (new menu)
• Batch project move from File menu to Tools menu.
• Export to VisionLidar 365 in batch move from File menu to Tools menu
• New file conversion tool to convert from one coordinate system to another.
• New legacy project conversion tool to convert old project to new VisionLidar 2020 data structure
• New volume calculation tool to get volume within a fence for a single surface (one scan) or multidate surface (two scans). Heat map showing hotspots.
• New SFM (Structure From Motion) module that convert aerial images from drones to point clouds. GCP (Ground Control Points) module to refine absolute position of point clouds.