PRESENTATION

The scientific project of the LISTIC is mainly focused on information fusion systems. The originality of the laboratory is in its transverse approach (system approach) between theory and applications.The studies aimed at the development of methodological and software tools for systems to be integrated into a control process of information processing, from its development from sensor data, its capitalization in the form of knowledge to its operation in a few privileged areas of experimentation.

Five research areas have been identified. They can act on their own or together with strong mutual interactions. They form the basis of the organization of the laboratory studies and can be described, in a succintly and non-exhaustive way, by keywords :

  • Information fusion methods : representation of information and uncertainties, transformations and equivalences (probabilities, possibilities, fuzzy sets), combination, explanatory features, …
  • Systems and distribution : modeling, analysis, control of networked systems (RDP, PLC, …), formalization of measurement and treatment mechanisms, rapid prototyping tools, …
  • Scalable software and systems : architectural adaptation and web services, reengineering and maintenance, …
  • Knowledge engineering : knowledge modeling and representations, semi-automatic extraction of ontologies, semi-formal representations, …
  • application oriented methodology

Given its expertise and its socio-economic environment, LISTIC has identified some privileged investigation areas to conduct methodological studies while ensuring data validation and evaluation of obtained performances. Studies concern :

  • Complex systems and intelligent instrumentation (evaluation of industrial performance, control process, …),
  • Image processing (multicomponent radar data analysis, X tomography, videos, …),
  • Complex systems (reengineering …),
  • Knowledge and skills management

In parallel, LISTIC develops an experimental instrumented platform promoting cross-cutting actions by bringing together the laboratory teams.This platform has been launched in 2002 in collaboration with the Faculty of Engineering of Kagawa University (Japan). Currently equipped with cyberglove and digital cameras, it serves for a hierarchical fusion system of gesture recognition to control a miniature robot.