Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …

The automated steering control technology is crucial for an autonomous vehicle, but due to
parametric uncertainties and time varying, the performance of automated steering control …

Kinematic model predictive control (MPC) is well known for its simplicity and computational
efficiency for path tracking of autonomous vehicles, however, it merely works well at low …

An in-depth study on driving habits and personalized driving-assistance systems is
conducive to the realization of vehicle safety and intelligent driving. In this paper, we present …

Abstract Model predictive control (MPC) algorithm is established based on a mathematical
model of a plant to forecast the system behavior and optimize the current control move, thus …

In this paper, a robust control method is introduced for autonomous vehicle control in
different scenarios. Dual controllers have been used in this method to ensure high …

The work is proposed to design a controller of the form known as the roundabout scenario
trajectory tracking problem. The road condition is a four-leg, single-lane roundabout; the …

In this paper, a new coupled lateral and longitudinal controller based on model predictive
control (MPC) framework was proposed for an autonomous vehicle to track the desired …

Curved path tracking control is one of the most important functions of autonomous vehicles.
First, small turning radius circular bends considering bend quadrant and travel direction …

Due to highly dynamic interactions between vehicles, ramp merging decision is
extraordinarily challenging in dense traffic. To deal with the non-convexity and inter-coupling …