Lane‐changing manoeuvres are essential for daily driving tasks. Safety and comfort are the
primary issues to be considered during the lane‐changing manoeuvres of autonomous …

This paper presents a learning-based model predictive trajectory planning controller for
automated driving in unstructured, dynamic environments with obstacle avoidance. We first …

In the background of autonomous driving at level 3 to level 4, an automated vehicle should
own smarter driving brain to face complicated transportation situations. In order to construct …

To address the issue of centrifugal force affecting the vertical load during the stability and
trajectory planning of autonomous vehicles during high-speed cornering and obstacle …

Most of the existing research in the field of autonomous vehicles (AVs) addresses decision
making, planning and control as separate factors which may affect AV performance in …

This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …

This paper presents an efficient hierarchical motion planning framework with a long
planning horizon for autonomous driving in structured environments. A 3D motion planning …

For automated driving vehicles, trajectory planning is responsible for obtaining feasible
trajectories with velocity profiles according to driving environments. From the perspective of …

This paper describes a lane-changing motion planning model for intelligent vehicles under
constraints of collision avoidance in dynamical driving environments. The key innovation is …

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 …