SAMMIE – An Adaptive Solution for the Fully Automated Processing and Visualization of Mobile Mapping Data

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.

With SAMMIE, we are creating a complete, adaptive processing chain that begins during data acquisition. By building specialized data structures (indexes) and applying semantic enrichment through artificial intelligence (AI), relevant parameters can be derived and used in real time to control the sensors. The subsequent cloud-based data processing then consolidates the information, further enriches it, and generates an interactive web-based visualization.

The complete SAMMIE processing pipeline can be conveniently used by companies as Software-as-a-Service. Preprocessing of the very large data volumes takes place locally, so that only a reduced amount of data needs to be transferred to the cloud. Computationally intensive processes are then performed in the cloud and billed on a pay-per-use basis. The individual components of SAMMIE are designed with flexibility in mind, allowing them to be easily exchanged or extended with customer-specific processes.

SAMMIE is a collaborative project between Fraunhofer IGD and Fraunhofer IPM within the framework of the SME project funding program of the Fraunhofer-Gesellschaft.

Reference

Cloud Computing and Geodata

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Infrastructure and Public Services

In the Infrastructure and Public Services, we focus on companies that develop, integrate, or use software. We support these companies in their data-intensive applications, helping them develop efficient and interactive solutions  from data management to visual user interfaces.