Rail Corridor AI Feature Extraction
Automated feature extraction from point clouds using ATLAS
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 Monitoring
Vegetation is automatically segmented. Rules can be applied to alert when vegetation crosses a pre-defined threshold.
Updated about 1 year ago