Obstacle avoidance problem for the autonomous vehicle has received more and more
attention these years, especially for the autonomous heavy vehicle, which has the high …

In the realm of autonomous vehicles (AVs), ensuring safe and effective motion planning is a
paramount and challenging task, particularly in complex and dynamic scenarios. To …

Motion planning for car-like robots is one of the major challenges in automated driving. It
requires to solve a two-point boundary value problem that connects a start and a goal …

Autonomous vehicle requires a general planner for all possible scenarios. Existing
researches design such a planner by a unified scenario description. However, it may …

In this paper, a novel kinematic-based optimal trajectory planning formulation for an
autonomous vehicle is presented. In this new formulation, the quadratic errors of position …

This paper presents a motion planner of autonomous vehicles for uncontrolled intersection
driving. Uncertainty about the surrounding target vehicles is an important consideration for …

This paper proposes a gain-scheduling robust model predictive control (GS-RMPC)
algorithm for the path-following problem of autonomous independent-drive electric vehicles …

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 …

Autonomous driving is one of the promising technologies to tackle traffic accident and
congestion problems nowadays. Even though an autonomous vehicle is operated without …

Trajectory planning with high accuracy is one of the key technologies of autonomous
vehicles to travel safely on public roads. In this paper, we investigate the dependence of the …