Geospatial data acquired along roadway corridors has unique characteristics that can present a challenge to the production of topographies, models, analyses and other forms of Digital twins. These short video examples demonstrate TopoDOT's unique approach to addressing those challenges with the optimal balance between automation, productivity and quality.
Paint Stripe Extraction
Bare Earth Extraction
TopoDOT applied to rail corridors offers unrivaled performance. Unique and highly automated process technology assures rail features are extracted to the highest possible accuracy supported by the data. Automated assessment tools verify and document Digital Twin quality.
Catenary Wire Extraction
The implementation of TopoDOT within a mature CAD platform yields a powerful solution to extracting complex 3D models from geospatial data. Synergy between TopoDOT's extensive tool suite and existing 3D CAD modeling capabilities provide limitless opportunities to produce 3D Digital Twin models meeting the requirements of any supported operation.
TopoDOT exploits the information rich data acquired by modern geospatial systems to extract assets in support of topography models and GIS database applications. TopoDOT offers highly productive tools to identify, locate and extract GIS assets from within the raw geospatial data. AI driven tools achieve the highest levels of productivity with quality control integrated directly into the workflow.
In addition to Digital Twin production, TopoDOT offers an extensive collection of tools dedicated to performing highly automated analyses and simulations. These tools extract and document actionable information from geospatial data and/or Digital Twin models. The list of analysis tools includes: bridge clearance, cable clearance, barrier height, vegetation encroachment, pavement distress, earthworks volumes, wall monitoring, road surface geometry, curve geometry, curve design speed analysis, tractor trailer simulation, rail car simulation and many more.
Cross Slope Analysis
TopoDOT offers a highly automated tool suite designed to quickly assess and document project data characteristics and quality. Automatically documented results establish and quantify a traceable lineage from point cloud and image data to geospatial reference coordinates. Data assessment is critical to the execution of a quality-controlled Digital Twin production process.
Point Cloud Deviation
Point Cloud to DTM
Point Cloud to Control
Data Coverage Assessment