Trajectory planning is a critical component in autonomous vehicles directly responsible for
driving safety and efficiency during deployment. The ability to find the optimal trajectory in …

Trajectory planning plays a crucial role in autonomous driving systems, as it is tasked to
generate feasible trajectories under highly dynamic scenarios within the time constraint. This …

Trajectory planning is of vital importance to decision-making for autonomous vehicles.
Currently, there are three popular classes of cost-based trajectory planning methods …

Trajectory planning is a critical function in an autonomous vehicle, which is about generating
a local spatio-temporal curve with safety, traverse efficiency, and comfort factors considered …

Road shoulders and slopes often appear in unstructured environments. They make 2.5 D
vehicle trajectory planning commonly seen in our daily life, which lies on a 2D manifold …

Trajectory planning for autonomous driving is challenging in unstructured scenarios such as
mining sites. Existing studies mainly resort to a heuristic search-based planner to find a …

A safe trajectory planning for on-road autonomous driving is a challenging problem owing to
the variety and complexity of driving environments. The problem should involve the …

In this paper, we introduce a novel and efficient hybrid trajectory planning method for
autonomous driving in highly constrained environments. The contributions of this paper are …

With the development of the autonomous driving technology, the autonomous vehicle has
become one of the key issues for supporting our daily life and economical activities. One of …

To address the shortcomings of the classical RRT (Rapidly exploring Range Tree) path
planning algorithm, such as long planning time and path curvature in some narrow and …