To ensure that autonomous vehicles satisfy the requirements of the traffic environment,
vehicle driving ability, and desired driver experience during obstacle avoidance, this paper …

This paper presents a non-cooperative vehicle-to-vehicle trajectory-planning algorithm with
consideration of the characteristics of different drivers. The driver–vehicle model considering …

Trajectory planning and tracking control are two keys of collision avoidance for autonomous
vehicles in critical traffic scenarios. It requires not only the system functionality, but also …

As vehicle applications have evolved to a more intelligent and self-driving stage,
autonomous vehicles have attracted more attention in recent years. This paper proposes a …

A framework of integrating local trajectory replanning with trajectory tracking is constructed
to address the problem of emergency obstacle avoidance for self-driving cars during driving …

There will be three kinds of collision avoidance operations when a driver encounters an
object just ahead: braking and stopping before collision, steering the vehicle for avoidance …

In automatic driving application, the velocity planner can be considered as a key factor to
ensure the safety and comfort. One of the most important tasks of the velocity planner is to …

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

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 …

A novel driving-behavior-oriented method is proposed in this paper for improving trajectory
planning performance of autonomous vehicle driving on urban structural road. Differ from …