- Responsible: Dalil ICHAAL (PR)
- Co-responsible: Vincent VIGNERON (MC HDR)
Field of activity
SIAM (Signal, Image, AutoMatic) is an interdisciplinary team whose research revolves around the four essential steps in the general study of a system: perception, observation, modeling, and control. The two systems targeted for applying these methods are mainly vehicles and biological systems. The non-standard behavior of the systems studied, as well as the consideration of their autonomy, led the team’s researchers to implement original methods on very varied aspects: behavior at the safety limit for vehicles, air vehicles lighter than air, cooperation of autonomous vehicles, mobility of cells in the ameboid phase and consideration of the micro-environment.
This expertise contributes to the definition of the team and its influence. Based on heterogeneous applications, the team has imagined methods that cut across the usual tools, thus offering the possibility of linking disciplines and, therefore, communities that are not naturally linked. Let us cite a few examples: the decomposition of statistical tensors for the analysis of 3D images, the theory of statistical decision applied to the recognition of cell types, the consideration of deformable models with aero-elastic forces to control airships, the classification of the constrained stability of non-Hamiltonian systems.
The team, therefore, relies on these multidisciplinary interactions to establish its research project in a favorable local context (installation of the CHSF in 2010, of the IRBA in 2009, extension of Genopole, and rapprochement with IFFSTAR-LIVIC).