Physics-guided online adaptive vehicle dynamics modeling via decoupled residual learning
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on July 14, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Accurate prediction of vehicle dynamics is critical for reliable motion planning and control of autonomous vehicles. However, physics-based models often struggle to represent the strong nonlinearity and coupling inherent in vehicle dynamics, while purely ...
Accurate prediction of vehicle dynamics is critical for reliable motion planning and control of autonomous vehicles. However, physics-based models often struggle to represent the strong nonlinearity and coupling inherent in vehicle dynamics, while purely ...