Cooperative Navigation and Cloud Processing

The current evolution of the Internet of Things (IoT) and Smart Cities, together with the proliferation in the last years of cloud platforms where storage and processing of data can, ideally, be handled on demand, has boosted the appearance of new applications and services in the positioning domain of potential interest for specific use cases. In particular, the processing in the cloud of GNSS signal snapshots can be of interest when targeting a gain in terms of power consumption or computational burden, offloading the local device or chipset from the full GNSS processing.

Moreover, cloud processing allows the application of complex or advanced positioning or navigation solutions that require a high computational burden, or depend on the usage of heavy assistance information (e.g. radio and magnetic fingerprinting maps,detailed 3D maps, etc.). And, of course, new positioning applications or processing techniques can be derived from, or take advantageof, the crowd-sourced and/or cooperative processing of the GNSS signal snapshots and/or observables, as well as other measurements/data gathered by the low-end devices connected to the Internet, including those generated by user sensors and wireless communicationmodules.

This activity shall study and develop new innovative positioning and navigation techniques relying on the exploitation of crowd-sourced data and GNSS signal snapshots and/or GNSS observables from low-end sensors or devices connected to the Internet, enabled by high-data-rate and low-latency wireless communication networks, and based on the cloud processing of the data. 

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