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 …

This paper presents a trajectory planning framework to deal with the highly dynamic
environments for on-road driving. The trajectory optimization problem with parameterized …

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 …

Trajectory planning is one of the key and challenging tasks in autonomous driving. This
paper proposes a novel method that dynamically plans trajectories, with the aim to achieve …

This paper presents a real-time dynamic path planning method for autonomous driving that
avoids both static and moving obstacles. The proposed path planning method determines …

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

This paper presents a hierarchical trajectory planning based on the integration of a sampling
and an optimization method for urban autonomous driving. To manage a complex driving …

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 …

This paper introduces an efficient motion planning method for on-road driving of the
autonomous vehicles, which is based on the rapidly exploring random tree (RRT) algorithm …

Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …