In the field of autonomous driving trajectory planning, it's virtual to ensure real-time planning
while guaranteeing feasibility and robustness. Current widely adopted approaches include …

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 …

Trajectory planning for autonomous driving is a typical three-dimensional constrained
planning problem that takes into account spatio-temporal information. In this work, a …

Motion Planning is one of the key modules in autonomous driving systems to generate
trajectories for self-driving vehicles. Spatio-temporal motion planners are often used to …

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 …

This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …

As a fundamental component of autonomous driving systems, motion planning has garnered
significant attention from both academia and industry. This paper focuses on efficient and …

Our work aims to present a high-performance and modular sampling-based trajectory
planning algorithm for autonomous vehicles. This algorithm is tailored to address 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 …