This paper investigates an integrated traffic environment modeling and model predictive
control (MPC) system to realize interaction-aware dynamic motion planning of an …

This article proposes an interaction and safety-aware motion-planning method for an
autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates …

This paper proposes an interaction-aware motion-planning method for an autonomous
vehicle in uncertain multi-vehicle traffic environments. An interaction-aware motion …

Motion planning plays a significant role in enabling advances of autonomous vehicles in
saving lives and improving traffic efficiency. In a predictive motionplanning strategy, the ego …

The predictive motion prediction of surrounding vehicles is an essential precondition for
precise collision risk assessment and path planning. In this paper, we propose a motion …

This article describes the development and implementation of virtual target-based
longitudinal motion planning of autonomous vehicles at urban intersections ensuring safety …

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

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 …

We consider the problem of predicting the motion of vehicles in the surrounding of an
autonomous car, for improved motion planning in lane-based driving scenarios without inter …