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Scalable Digital Twins: TRK500/700 Neo and AAI RepliMap in Real-World Use

The new white paper by Automotive Artificial Intelligence (AAI) GmbH and Leica Geosystems AG
January 26, 2026 by
Isabel Metz

Digital twins of real-world environments have become a key foundation for simulation, validation, and planning across industries. Their value depends not only on data accuracy, but on the ability to convert captured reality into simulation-ready, standards-compliant models quickly and cost-effectively.

The new white paper by Automotive Artificial Intelligence (AAI) GmbH and Leica Geosystems AG presents an end-to-end solution, from mobile data capture to deployable digital twins.

From Mobile Mapping to Simulation

At the core of the solution is the combination of:

  • Hexagon Pegasus TRK500/700 Neo

    High-precision vehicle-mounted mobile mapping systems capturing dense geometric and image data

  • AAI RepliMap

    Automated semantic modelling that transforms raw data into simulation-ready digital twins, including lane topology, traffic rules, attributes, and network consistency

This processing chain enables real-world environments to be converted within days into standard formats such as ASAM OpenDRIVE® and Lanelet2, ready for direct use in common simulation toolchains.

Application Areas

The white paper highlights practical use cases across multiple sectors:

  • Automotive & Mobility

    ADAS and AV validation, Euro NCAP and GSR compliance, reuse of simulation assets across vehicle programs

  • Smart Cities & Infrastructure

    Traffic flow simulation and city-scale digital twins based on real-world measurements

  • Logistics & Last-Mile Delivery

    Route planning, obstacle and environment simulation prior to deployment

  • Rail & Infrastructure Inspection

    Corridor modelling, virtual inspections, and improved planning safety

  • Defense & Public Safety

    Training and mission simulation in realistic virtual environments

Business and Technical Benefits

  • Short turnaround from data capture to simulation

  • Scalable production of simulation-ready digital twins

  • High degree of automation with consistent data quality

  • Compatibility with established standards and toolchains

  • Flexible deployment options: cloud, on-prem, or hybrid

Download

📄 Download the full white paper for a detailed description of the workflow, data formats, and sector-specific benefits.


Isabel Metz January 26, 2026
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