Lane-changing is a critical issue for autonomous vehicles (AVs), especially in complex
environments. In addition, different drivers have different handling preferences. How to …

The ultimate goal of self-driving technologies is to offer a safe and human-like driving
experience. As one of the most important enabling functionalities, trajectory planning has …

Although autonomous vehicles (AV) have been rapidly developed, their control technology
is not sufficiently mature for daily use, yet not human-centred enough. Some studies …

In order to improve the real-time and computational efficiency of autonomous vehicles'
decision-making process, this paper draws on the decision-making behavior of human …

For autonomous vehicles, scene understanding is still one of the major challenges, which
needs to be well handled to avoid jittery decisions and unsmooth trajectories. Furthermore …

This article advances state-of-the-art automated driving systems with a comprehensive
framework that encompasses decision making, maneuver planning, and trajectory tracking …

Different driving styles should be considered in path planning for autonomous vehicles that
are travelling alongside other traditional vehicles in the same traffic scene. Based on the …

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 …

An adaptive potential field is designed to adapt the acceleration/deceleration and mass of
the obstacle. The potential fields are established in a transformed road coordinate system to …

In order to meet the requirements of vehicle automatic obstacle avoidance, a lane change
trajectory planning method is proposed to meet the requirements of safety, comfort, and lane …