UMR CNRS 7253

Multisensor data fusion, Dealing with uncertainty and inaccuracy, Temporal data fusion, distributed data fusion, Belief functions.

Intelligent Vehicles, Advanced Driver Assistance Systems

• Study of credibilist occupancy grid for local dynamic map.
• Using believe theory for data association. Application to multitarget tracking system.
• Distributed data fusion in Vehicular Network (VANET) application.
• Confidence indicators in object level fusion system. Application to pedestrian detection.
• Study of imprecise datation in a multisensor fusion system.
• Uncertainty managment for HF metrics computation in driving situation.

• Distributed data fusion in Vanets : Comosef (Celtic-Plus Eureka)
• Perception distribuée : DAPAD(Labex)
• Augmented reality for ADAS : SERA (National FUI)

• Embedded perception for intelligent vehicles : PRETIV (ANR-NFSC) MPR (LIAMA)
• Digital maps and intelligent vehicles PREDIMAP (ICT -ASIA)
• Augmented reality for ADAS (RAMIAC) (Lab. Project)
• Perception for Autonomous Vehicles : CityVIP(ANR- Predit) and CityHOME (ICT-ASIA)
• Distributed data Fusion in Vehicular Network (Lab. Project)
• Pedestrian detection : LOVe (Projet ANR- Predit/Pôle System@tic)
• C2C communication : Safespot Projet 6ePCRD-IST) ,CVIS(Projet 6ePCRD-IST) and Previsibility(Projet Région/Pôle DIVA)
• Autonomous vehicule : MobiVip (Predit 2003-2006)
• ADAS: ARCOS (Predit 2002-2004)
• Driver behaviour : RoadSense (5ePCRD-GSS 2000-2003)