Analyzing and managing the flow of data from so many different sources and sensors is a challenge. Future sensor networks will also put forward new scientific problems not yet completely formalized: how to collect, and use in almost real-time this humongous set of data and information. Indeed, the data are the first “basic” level: from there models must be run and assesses, ground truth (more data) must be supply for the unavoidable calibration and validation phases. Furthermore, we will have to insure sustainability of these data bases and its corollary, maintenance.
The research unit LabSTICC, in Brest proposes a large set of competences based on its research teams coming from five main University and Research Institutes. They range from works developed in domains such as acquisition (sensors, on-board systems, drones, control & systems, etc.), observation and data analysis (multi-modal data, modeling, signal and image processing), data processing (especially in the context of big data). In this respect, the LabSTICC motto (From sensor to knowledge) applies very well here.
The ICTO transverse program is built on several of the LabSTICC research teams and its strategic positioning is on first and simplified approach divide in two main domains:
o Very high resolution processing
o Innovative sensors and sensor networks