• Automated processing of point clouds—millions of individual measurement points—for linear road infrastructure (highways)

• Innovative solution for the highly automated creation of digital data models

• Detailed construction plans, geoinformation and building information models

Göttingen / Erlangen / Zurich – Surveying Office Rink GbR, Lang&Lang GmbH, and ioLabs AG have formed a strategic partnership with the aim of revolutionizing highway digitization. Together, the three companies are developing an innovative solution for the highly automated generation of digital data models for large-scale linear—thus relatively simple—structures.

Rink Vermessung GbR, Lang&Lang GmbH, and ioLabs AG are combining advanced 3D scanning, AI-driven processing, and modular workflows. The project focuses on transforming thousands of kilometers of highway into precise, data-rich 3D models. Using high-precision LiDAR scans, automated point cloud processing, and iterative feedback loops, the system delivers CAD- and GIS-compatible outputs with unprecedented efficiency and accuracy.

This cutting-edge approach reduces manual effort, enables seamless integration with industry-standard tools, and paves the way for smarter infrastructure management.

The collaboration aims to generate precise representations of highways and their components. At the heart of the project are advanced technologies with high automation potential. With 3D scanners such as the Riegl VUX-1HA, large volumes of highly accurate, wide-area data can be collected. Artificial intelligence (AI) supports the sorting, processing, and preparation of this data, enabling the creation of vector representations of highway elements across multiple data formats.

What unites these three companies is a shared passion for intelligent and efficient solutions—aimed at optimizing workflows, accelerating production processes, and increasing accuracy. The goal is to effectively process vast amounts of data—thousands of kilometers of highway scanned and documented in 3D—and to develop an innovative solution for digital data models of extensive linear structures.