Navigation algorithms for autonomous vehicles have become the subject of increasing
interest, but most of them heavily rely on expensive high-precision positioning equipment …

In the field of path planning for autonomous vehicle, the existing studies separately consider
the path planning and path tracking problem. To fill in this research gap, this study proposes …

In this paper, we develop an integrated local trajectory planning and control scheme for the
navigation of autonomous ground vehicles (AGVs) along a reference path with avoidance of …

In this study, an obstacle avoidance controller based on nonlinear model predictive control
is designed in autonomous vehicle navigation. The reference trajectory is predefined using …

Autonomous vehicles need to solve the road keeping problem and the existing solutions
based on reinforcement learning are mainly implemented in the simulators. The key of …

This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …

In order to improve trajectory tracking accuracy, a reinforcement learning method was
employed to address the trajectory tracking task in autonomous driving. There are many …

This paper presents a novel local motion planning framework in a hierarchical manner for
autonomous vehicles to follow a trajectory and agilely avoid obstacles. In the upper layer, a …

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 …

Path planning in real road traffic refers to the navigation of an autonomous vehicle through
an obstacle-filled environment. It is crucial for the comfort, safety, and efficiency of the …