|Project title||Access to Public Spaces via 5G (5GAPS)|
|Project duration||01.01.2022 – 31.12.2024|
A high-precision positioning system for public and semi-public spaces is being developed in the 5GAPS (Access to Public Spaces) project. This will enable numerous new applications in the future – from highly accurate 3D positioning and navigation even in buildings, to more efficient space management in business and public spaces, to augmenting spatial perception with tracker-independent augmented reality services.
The 5G mobile-based, highly accurate and temporally dynamic positioning system is based on a digital twin of public and semi-public space in the form of a three-dimensional grid: the 5G Open Cubelet Attribution and Positioning System (5G OCAPS). The added value of the approach lies in being able to address each cube ("cubelet") in real time and digitally attribute it – for example, material characteristics, abstract usage rights or colors. This attribution is done temporarily with adaptive grid resolution and accuracy. The 5G network is necessary for the transmission of these data volumes.
In the project, among other things, the sensor systems for environmental data acquisition and the simulation environments will be built and implemented according to the requirements of initial UseCases to ensure data transfer and processing. Based on this, an initial environment will be implemented in 5G OCAPS, using various interfaces to process the data streams and exchange cubelet data packets (position, property, timestamp).
5GAPS will measure a "public" space for its prototypical applications on the 5G campus of Deutsche Messe AG, consisting of a hall and parts of the outdoor area. Selected, 5G-critical pilot use cases ranging from area and logistics management to the use of unmanned aerial vehicles and AR usage will be tested for their functionality and utility. In parallel, an open "crowd innovation ecosystem" will be established to promote crowd-based data mining and management as well as innovative business models.