The Kick-off meeting for the “CAMALIOT - Application of Machine Learning Technology for GNSS IoT Data Fusion” project funded by the European Space Agency (ESA) was held in Teleconference on 18th January 2021.
The project will last 18 months and will allow for the analysis, design and implementation of a software infrastructure based on Big Data Architecture, that will adopt data fusion and Machine Learning (ML) algorithms to correlate and exploit IoT and traditional GNSS data sources.
The proposed CAMALIOT solution will be able to:
By using an Agile approach, the consortium will develop such SW infrastructure as extension of the current GSSC architecture by focusing on its functional System Domains.
The final architecture will extend the current GSSC in fields of data ingestion, processing and analysis services by implementing the IoT components (including crowdsourcing app) and the ML models and pipeline.
The validation of the system domain is conducted through different test cases, mainly focused on the selected GNSS Science use cases.
The Kick-off meeting participants included representatives from ESA, the main contractor RINA Consulting-Centro Sviluppo Materiali S.p.A., in consortium with the Politecnico di Milano with the Department of Aerospace Science and Technology and the Department of Electronics Information and Bioengineering, and two SME companies: Intelligentia srl and Geomatics Research & Development srl.