Velocity planning is an important module of autonomous driving, which aims to generate the
velocity profile given a reference path. However, most existing algorithms fail to adequately …

Safety-guaranteed motion planning is critical for self-driving cars to generate collision-free
trajectories. A layered motion planning approach with decoupled path and speed planning …

Collision avoidance at unsignalized intersections is critical to autonomous vehicle
technology. Our work addresses the challenging problem of online speed planning along a …

Robot swarm is a hot spot in robotic research community. In this paper, we propose a
decentralized framework for car-like robotic swarm which is capable of real-time planning in …

Efficient speed planning is crucial for the safe and comfortable navigation of autonomous
vehicles in dynamic environments. This paper introduces a novel energy-efficient, jerk …

Speed planning in rugged terrain poses challenges due to various constraints, such as
traverse efficiency, dynamics, safety, and smoothness. This letter introduces a framework …

In the field of autonomous driving, trajectory planning has achieved substantial
advancements, ensuring safety and efficiency in the majority of scenarios. Nevertheless, the …

This paper introduces an algorithm that optimizes the velocity profile of an intelligent vehicle
with fixed path to avoid dynamic obstacles, while avoiding deadlock situations. Interval …