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Table 2 Summary of estimation methods based on vehicle lateral dynamics

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

Number Models Methodology References
1 Single-track vehicle model Analytical model [71]
2 Brush model Analytical model [68]
3 Single-track vehicle model Parameter identification algorithm [74]
4 Lateral tire forces Analytical model [75]
5 Seven DOF vehicle model Multi-sensor signal fusion method [76,77,78]
6 Single-track vehicle model RLS [79, 80]
7 Single-track vehicle model Analytical model [69]
8 Brush model Analytical model [72]
9 Three DOF vehicle model Dual extended Kalman filter [81, 82]
10 Nonlinear vehicle model Switched multiple nonlinear observer [90]
11 Single-track vehicle model Analytical model [70]
12 Random-walk model Extended Luenberger observer [85]
13 Single-track vehicle model Iteration estimator [84]
14 Seven DOF vehicle model Online gradient descent algorithm [86]
15 Single-track vehicle model Nonlinear observer [87, 88]
16 Single-track vehicle model Nonlinear adaptive observer [91]
17 Hypothetical brush model Direct model inversion [73]
18 Single-track vehicle model High-order sliding mode differentiator. [89]
19 Single-track vehicle model Unscented Kalman filter [83]