The use cases to be addressed revolve around private or public autonomous transportation in cities, and other satellite-visibility constrained environments, where augmentation technologies can make a big difference. The targeted mobility classes include cars, trams, scooters, bikes, urban ferries, harbours, narrow waterways navigation and future passenger drones.

Imaging sensors can be used to map the surrounding of the vehicle and might also be used to identify features of the environment recorded in 3D maps.

High fidelity 3D city models can also be used to predict satellite position and enhance signal reception conditions to improve the user position. Some of the techniques require processing of vast amount of data. However this challenge could be surmounted using AI algorithms, and by performing the bulk of heavy computations in the cloud.