Most modern day automotive chassis control systems employ a feedback control structure.
Therefore, real-time estimates of the vehicle dynamic states and tire-road contact …

We present a novel approach to learning online the tire stiffness and vehicle state using only
wheel-speed and inertial sensors. The deviations from nominal stiffness values are treated …

We propose an adaptive nonlinear model predictive control (NMPC) for vehicle tracking
control. The controller learns in real time a tyre force model to adapt to a varying road …

This article addresses the problem of state estimation and simultaneous learning of the
vehicle's tire model on autonomous vehicles. The problem is motivated by the fact that …

Real-time classification of road surface conditions is very important for the control of a
vehicle properly within its handling limits. There have been numerous attempts to estimate …

Information about the vehicle sideslip angle is crucial for the successful implementation of
advanced stability control systems. In production vehicles, sideslip angle is difficult to …

Map** stationary objects and tracking moving targets are essential for many autonomous
functions in vehicles. In order to compute the map and track estimates, sensor …

This article presents methods for estimating lateral vehicle velocity and tire cornering
stiffness, which are key parameters in vehicle dynamics control, using lateral tire force …

Study of vehicle dynamics aggregates possibilities to enhance performance, safety and
reliability, such as the integration of control systems, usually requiring knowledge on …

Cornering stiffness is one of the important vehicle parameters for steering control of a
vehicle. Accurate vehicle parameters are essential for a high performance of vehicle control …