With the development of computer technology and semiconductor technology and the
improvement of people's living standards, automatic driving technology has attracted more …

Path tracking and obstacle avoidance are key technologies in the field of intelligent driving.
This paper is to solve path tracking and obstacle avoidance problems based on Model …

In recent years, with the continuous development of the automotive industry, many control
schemes have been applied to the control technology of autonomous vehicles. Therefore, a …

In order to complete the trajectory tracking of smart cars, a trajectory tracking method based
on model predictive control is proposed. The linear linearization scheme of kinematics …

With the increasing demand for human travel, autonomous driving vehicles are gradually
becoming a multi-domain, multimodule product of advanced technology. The motion control …

As a new technology direction in the automotive industry in recent years, automatic driving
technology has played an important role in reducing traffic accidents, promoting energy …

Trajectory tracking controller is used to analyze the trajectory tracking problem in the field of
intelligent transportation. According to the theory of model predictive control, the trajectory …

Model Predictive Control (MPC) combined with the planning layer can realize the
autonomous obstacle avoidance of vehicles. Still, the generated trajectories are often not …

Intelligent vehicle includes perception, planning, control, decision making and interaction.
Path planning and vehicle control act the vehicle directly, and its stability, safety and …

Predictive control is an advanced control algorithm, which is widely used in industrial
process control. Among them, model predictive control (MPC) is an important branch of …