Security problem is a fundamental issue for autonomous vehicles. Trajectory planning is a
significant component of autonomous vehicle system, which directly influences the …

Safety is the cornerstone of autonomous driving vehicles. For autonomously controlled
vehicles driving safely in complex and dynamic traffic scenarios, it is essential to precisely …

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 presents a motion-planning framework for urban autonomous driving at
uncontrolled intersections. The intention and future state of the target vehicles are predicted …

A motion planning method for autonomous vehicles confronting emergency situations where
collision is inevitable, generating a path to mitigate the crash as much as possible, is …

The lane-change strategy of autonomous vehicles is affected by its leading vehicle. It is
necessary and challenging to simultaneously conduct the lane-change maneuvers while …

This paper proposes risk-informed decision-making and control methods for autonomous
vehicles (AVs) under severe driving conditions, where many vehicle interactions occur on …

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 …

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 …

This paper describes the design, implementation, and evaluation of a virtual target-based
overtaking decision, motion planning, and control algorithm for autonomous vehicles. Both …