Point clouds are generally extremely large files, and can be difficult to transfer, view and manipulate. ATLAS streams point clouds in such a way that they can be viewed on the web, with a standard browser and internet connection, without the need for sophisticated computing power. ATLAS works with all standard point cloud file types.
Asset Recognition & Segmentation
ATLAS has been trained on numerous asset classes and will automatically segment assets detected in a point cloud. Vegetation is also detected . Changes between clouds taken at the same location on different dates can be flagged, along with comparisons to 3D design models.
Currently supported asset classes for automated feature extraction
- RAIL Environment - Signal, Overbrige, Platform, Rail, Nodes (Point Toes), Trackbed, Vegetation, Level Crossing, Tunnel, Signage, Wall, OHLE Cable, OHLE Supports, Lightpole, Cabinet, Balises
Vegetation is automatically segmented. Rules can be applied to alert when vegetation crosses a pre-defined threshold.
Updated 2 months ago