Skip to main content

Table 3 Summary of estimation methods based on vehicle coupled dynamics

From: Tire Road Friction Coefficient Estimation: Review and Research Perspectives

Number Models Methodology References
1 Four wheel vehicle model Analytical model [93]
2 Four wheel vehicle model Unscented Kalman filter [106]
3 Kinematic model Analytical model [94]
4 Single-track vehicle model Analytical model [95]
5 Brushed tire model Linearized RLS [92]
6 Three DOF vehicle model Extended Kalman filter [103]
7 Three DOF vehicle model Integrated estimator [96]
8 Planar vehicle model RLS [102]
9 Three DOF vehicle model Signal fusion method [98]
10 Four-DOF vehicle model Extended Kalman filter [104]
11 Planar vehicle model MSE-weighted fusion method [99]
12 Three DOF vehicle model RLS [101]
13 Fourteen DOF vehicle model Multilayer perceptron neural network [110]
14 Active front steering model Frequency domain data fusion [100]
15 Planar vehicle model Nonlinear observer [108]
16 Three DOF vehicle model Limited-memory adaptive EKF [105]
17 Kinematic model Nonlinear observer [109]
18 Three DOF vehicle model Moving horizon estimation strategy [97]
19 Seven DOF vehicle model Improved strong tracking UKF [107]