In the area of autonomous driving, it typically brings great difficulty in solving the motion
planning problem since the vehicle model is nonlinear and the driving scenarios are …

Autonomous driving of unmanned ground vehicle (UGV) at road intersection is a
challenging task due to the complicated traffic conditions. In this paper, an event-triggered …

The autonomous vehicle is widely applied in various ground operations, in which motion
planning and tracking control are becoming the key technologies to achieve autonomous …

The path tracking control problem for autonomous vehicle with uncertain dynamics requires
simultaneous consideration of control optimality and safety-based performance constraints …

In this paper, a hybrid-intelligent real-time optimal control approach based on deep neural
networks (DNNs) is proposed to improve the autonomy and intelligence of automatic guided …

To address the problem of model error and tracking dependence in the process of intelligent
vehicle motion planning, an intelligent vehicle model transfer trajectory planning method …

This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …

Trajectory planning is of vital importance to decision-making for autonomous vehicles.
Currently, there are three popular classes of cost-based trajectory planning methods …

Path planning is discussed in this article for an autonomous vehicle given a route to follow.
Route data is considered to be available for a distance ahead of the vehicle in a receding …

An online trajectory planning method for collision avoidance is proposed to improve vehicle
driving safety and comfort simultaneously. The collision-free trajectory for autonomous …