This study proposes a new integrated approach to the motion control of autonomous
vehicles, which differs from the conventional method of treating planning and tracking tasks …

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 …

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 …

In this article, we propose an optimization-based integrated behavior planning and motion
control scheme, which is an interpretable and adaptable urban autonomous driving solution …

This study proposes a novel mixed motion planning and tracking (MPT) control framework
for autonomous vehicles (AVs) based on model predictive control (MPC), which is made up …

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 …

Motion planning for autonomous vehicles requires spatio-temporal motion plans (ie state
trajectories) to account for dynamic obstacles. This requires a trajectory tracking control …

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 …

Path planning for autonomous vehicles in dynamic environments is an important but
challenging problem, due to the constraints of vehicle dynamics and existence of …

This paper proposes a novel motion planning and tracking framework based on improved
artificial potential fields (APFs) and a lane change strategy to enhance the performance of …