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Carlson Point Cloud

Carlson Point Cloud processes point cloud data from aerial, ground, and photogrammetry sources. It extracts curbs, parking lines, sidewalks, and building outlines, removes vegetation and objects, generates contours, profiles, and volumes, and automates CAD drafting with field-to-finish functionality for survey-grade outputs.

Carlson Point Cloud
Carlson Point Cloud is a modular software for handling point cloud data from LiDAR, photogrammetry, and ground scans, enabling surveyors and engineers to create maps and CAD deliverables from any dataset.

Key capabilities include machine learning-based feature extraction for curbs, parking lines, paint stripes, sidewalks, building outlines, and powerlines. The software supports bare-earth filtering, contour and profile generation, volume calculations, and advanced field-to-finish drafting.

Carlson Point Cloud allows importing/exporting multiple formats (LAS, Leica, Faro, E57, DEM, GeoTIFF, RCP), consolidating multiple scans, decimating clouds, colorizing points, and automated breakline creation. Both Basic and Advanced versions offer linework creation, CAD integration, and smart feature extraction tools for high-efficiency workflow.

Advanced tools include additional filters, transformations, feature-type point and solid creation, and seamless CAD entity generation, allowing professionals to rapidly convert raw point clouds into actionable, accurate survey and engineering data.