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 …

Trajectory planning is one of the most complex tasks that should be accomplished in order to
ensure vehicle autonomous driving. Trajectory planning can be classified into local and …

In the field of path planning for autonomous vehicle, the existing studies separately consider
the path planning and path tracking problem. To fill in this research gap, this study proposes …

Path planning is discussed in this article for an autonomous vehicle given a route to follow.
Route data is considered to be available for a distance ahead of the vehicle in a receding …

Autonomous driving has the potential of revolutionizing the mode of trip for human society
with improved transport safety and accessibility and reduced emissions. Trajectory planning …

Path planning and path following are key technologies for autonomous vehicles. Strong
nonlinearity, coupling characteristics, parametric uncertainties, external disturbances, and …

This study presents a general optimal trajectory planning (GOTP) framework for autonomous
vehicles (AVs) that can effectively avoid obstacles and guide AVs to complete driving tasks …

This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …

Compared to typical drivers of human-driven vehicles, autonomous vehicles can maximize
the use of vehicle performance by utilizing a full road width without tracking the center of the …

In this paper, we present an optimal path planning and speed control strategy for motion
planning of unmanned ground vehicles to follow the desired path in various driving …