Driver attention warning system based on a fuzzy representation of the vehicle model
Driver attention warning system based on a fuzzy representation of the vehicle model
- New search for: Dahmani, H.
- New search for: Chadli, M.
- New search for: Rabhi, A.
- New search for: El Hajjaji, A.
- New search for: Dahmani, H.
- New search for: Chadli, M.
- New search for: Rabhi, A.
- New search for: El Hajjaji, A.
A lane departure detection method is studied and evaluated using the full vehicle dynamics software CarSim. The road curvature is estimated and compared to the vehicle trajectory curvature. The proposed algorithm takes account of the steering dynamics and uses the TLK (Time to the Lane Keeping) as a second risk indicator in order to reduce false alarms and integrate the driver corrections. The used nonlinear model deduced from the vehicle lateral dynamics and a vision system is represented by a T-S (Takagi-Sugeno) fuzzy model. Stability conditions of the fuzzy observer are expressed in terms of LMI (Linear Matrix Inequalities) using unmeasurable premise variables. Simulation results show good efficiency of the method under different driving scenarios.
Document information
Driver attention warning system based on a fuzzy representation of the vehicle model
2011
6 Seiten, 9 Bilder, 13 Quellen
Conference paper
Storage medium
English