Motion planning is a core technique for autonomous driving. Nowadays, there still exists a
lot of challenges in motion planning for autonomous driving in complicated environments …

With the aims of safe, smart and sustainable future mobility, a personalized approach of
trajectory planning and control based on user preferences is developed for lane-change of …

This paper presents a trajectory planner for autonomous driving based on a Nonlinear
Model Predictive Control (NMPC) algorithm that accounts for Pacejka's nonlinear lateral tyre …

The ethics of autonomous vehicles (AV) has received a great amount of attention in recent
years, specifically in regard to their decisional policies in accident situations in which human …

This study proposes an effective trajectory planning algorithm based on the quartic Bézier
curve and dangerous potential field for automatic vehicles. To generate collision‐free …

Increasing focus is being paid to ensuring safety in autonomous driving. The current paper
addresses the challenge of collision avoidance with dynamic surrounding vehicles in …

Autonomous vehicles must be able to react in a timely manner to typical and unpredictable
situations in urban scenarios. In this connection, motion planning algorithms play a key role …

This paper presents a novel planning and control strategy for competing with multiple
vehicles in a car racing scenario. The proposed racing strategy switches between two …

This paper investigates a human-machine cooperative trajectory planning and tracking
control approach for automated vehicles. The proposed method is developed based on a …

Autonomous driving, including intelligent decision-making and path planning, in dynamic
environments (like highway) is significantly more difficult than the navigation in static …