NAVISP-EL1-038: APPLICATION OF MACHINE LEARNING TECHNOLOGY FOR GNSS IOT DATA FUSION – CAMALIOT – EXPRO+
17, July 2020

ESA Open Invitation to Tender AO10411
Open Date: 15/07/2020
Closing Date: 30/09/2020 13:00:00

Status: ISSUED
Reference Nr.: 20.154.10
Prog. Ref.: NAVISP Phase 2 E1
Budget Ref.: E/0365-40 – NAVISP Phase 2 E1
Special Prov.: BE+DK+DE+CH+GB+AT+NL+NO+FI+CZ+RO+FR+IT+GR+HU+SE
Tender Type: C
Price Range: 200-500 KEURO
Technology Domains: Flight Dynamics and GNSS / GNSS High-Precision Data Processing / GNSS and Geodetic Data Processing / Flight Dynamics and GNSS / GNSS High-Precision Data Processing / Ground Tracking Networks / Flight Dynamics and GNSS / GNSS High-Precision Data Processing / Geodetic Reference Frames
Establishment: ESTEC
Directorate: Directorate of Navigation
Department: Strategy and Programme Department
Division: NAVISP Programme Office
Contract Officer: Papaioannou, Maria
Industrial Policy Measure: N/A – Not apply
Last Update Date: 15/07/2020
Update Reason: Tender issue

Recent advances in technology have contributed to the deployment of a “de-facto” large GNSS receiver array based on affordable smart devices that are easy to find in the consumer market (dual band smartphones, raw GNSS data recording, new sensors). Crowdsourced GNSS Big Data repositories provide a unique opportunity to apply innovative Machine Learning techniques for the identification of singularities and correlations, across GNSS science disciplines (e.g. space weather, water vapour measurement, geo-hazard detection). The objective of this activity is to implement a unique, publicly available repository of crowdsourced GNSS data and products designed for exploitation through ML techniques of relevant GNSS science Use Cases.

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