European Space Agency CAMALIOT project started
19 Feb 2021
The ESA CAMALIOT project aims at adopting data fusion technology and machine learning algorithms to exploit IoT and traditional GNSS data sources
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.
Project objectives
- Assessment of GNSS IoT data providers, carrying out a survey of existing and potential data sources like smartphones, wildlife trackers, smart city sensors
- implementation of a crowdsourcing Android app for the acquisition of GNSS community data
- implementation of a Big Data repository for subsequent data fusion of IoT data with more traditional GNSS data sources
- definition, refinement, evaluation and selection of a set of use cases for GNSS IoT data exploitation
- implementation of selected use cases in order to set the basis of a unique infrastructure for ML based identification of singularities and correlations across GNSS related domains
Deliverables
The proposed CAMALIOT solution will be able to:
- gather GNSS IoT data from heterogenous data sources, including crowdsourcing smartphone Android app, in speed, volume and time
- clean and filter the acquired GNSS IoT data
- storage the GNSS IoT data into a dedicated data lake
- apply the ML pipeline functions to the stored data
- implement the selected GNSS science use cases
- evaluate the performance of the implemented solutions against reference scenarios and existing approaches.
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.
Project Consortium
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.
