The mobile capture of environmental data is becoming increasingly important, particularly for planning activities. Entire settlements are surveyed with mobile mapping systems, collecting 360° panoramic images as well as 3D point clouds. Within a short time, many terabytes of data are generated, which are then manually analyzed and transferred into a digital plan.
At present, there are no standardized tools available for automated analysis. Companies often rely on a wide variety of different software systems, which are further extended with custom solutions. For small and medium-sized service providers in the field of mobile mapping, the complexity of this approach and the associated manual effort are costly and difficult to implement in practice.
As a result, these companies often end up acting merely as data suppliers, unable to exploit the full potential of data analysis. Furthermore, since data collection and processing typically occur sequentially, acquisition errors are often detected late, leading to poor data quality or costly re-surveys.