Mediating the divergent interest of vehicle stability and strengthened path tracking
performance when aiming at the design of a path tracking controller for autonomous …

In practical autonomous vehicle systems, model uncertainty and measurement noise are two
challenging factors that deteriorate path tracking accuracy and system stability. This article …

The knowledge of tire-ground interaction forces is valuable for intelligent vehicles
technologies. However, tire forces transducers are expensive and not suitable for ordinary …

In this study, a path tracking control method based on model predictive control (MPC) is
presented to improve the results of path tracking. A simulation model of an automatic guided …

Autonomous driving has been a topic of great interest in several areas, of which motor
racing is no exception. The aim of this work is the autonomous control of the future Formula …

Steering angle and driving force saturations are inevitable in autonomous vehicle motions,
which will degrade the motion control performance and even deteriorate the driving safety …

The knowledge of tire-ground interaction forces is interesting for intelligent vehicles.
However, tire forces transducers are expensive and not suitable for ordinary passengers …

Path tracking is a fundamental and important part of the automated vehicles, which ensures
the vehicle to drive along the desired path accurately. Although great progress has been …

This study proposes a linear time-varying model predictive control method based on tire
state stiffness prediction for the path tracking using a steering decision sequence in a …

Path planning and tracking are two important means for autonomous vehicle in obstacle
avoidance in the last decade. In this study, the reference path is planned on the basis of the …