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Professor Fredrik Gustafsson
Div. of Automatic Control
Dep. of Electrical Engineering
SE-581 83 Linköpings Universitet
Sweden

B-building, room Bv2A:506, tel: +46 13-282706
fax: +46 13-282622
mob: +46 70-6466565
email: fredrik at isy.liu.se

Sensor fusion projects


  • Particle filtering. The theoretical research focuses on obtaining scalable and real-time algorithms for sensor fusion applications, where marginalization is the key tool.
  • Sensor fusion applications. The vision and mission is to position everything that moves. We have applications to aircraft, cars (see next area below), surface ships, underwater vessels, film cameras, cellular phones and industrial robots. One leading theme is to consider cameras and Geographical Information Systems (GIS) as standard sensors in sensor fusion. A technical driver is to backup, support or replace GPS in critical integrated navigation systems. In some cases, the (Extended) Kalman filter is used in our application, but in particular when GIS are used, the particle filter and marginalized particle filter mentioned above are applied.
    • Fundings:
      • Swedish Research Council (VR).
      • MOVIII (SSF)
      • Marker-less augmented reality Matris (EU FP5) (positioning film cameras).
      • NFFP: Sense and avoid of aircraft.
      • Linklab: navigation of UAV's.
      • ARCUS (TAIS): navigation of UAV's.
      • Scanning laser radar (FOI) (positioning ground targets).
  • Sensor fusion for automotive safety systems is a central activity at the sensor fusion group and is here treated separately. Details of the many different projects are given on the research homepage.
      Recent plenary presentation: Reglermötet 2006.
    • Representative publication: See the research homepage.
    • Fundings: Two IVSS (Intelligent Vehicle Safety Systems) projects:
      • Systems for Collision Avoidance
      • Sensor Fusion Systems (SEFS)
      We also have a long-term collaboration with Volvo Car and Nira Dynamics AB.
  • Fault detection and diagnosis. Research focuses on the stochastic parity space, which mixes the classical parity space approach to fault detection with estimation theory.
  • Sensor networks. The research concerns localization in wireless networks, and fundamental limitations with particular focus to the US legislations for cellular phones.