Decision and control are core functionalities of high-level automated vehicles. Current
mainstream methods, such as functional decomposition and end-to-end reinforcement …

Recent years have seen the rapid development of autonomous driving systems, which are
typically designed in a hierarchical architecture or an end-to-end architecture. The …

The complexity of the environment makes rapidly-exploring random tree (RRT) difficult to
handle dynamic obstacle avoidance and system constraint in real-time path planning for …

Autonomous racing has increasingly become a research subject as it provides insights into
dynamic, high-speed situations. One crucial aspect of handling these situations, especially …

Lane changes require dynamic decision-making and rapid behavior planning, which are
challenging for traffic modeling. We propose a two-dimensional following lane-changing …

Purpose-The purpose of this paper is to develop a real-time trajectory planner with optimal
maneuver for autonomous vehicles to deal with dynamic obstacles during parallel parking …

Decision-making and motion planning are two core functionalities of intelligent vehicles. A
novel integrated decision-making and planning framework is presented for real-time and …

This paper proposes an integrated strategy of planning and control to address the poor
quality of the generated trajectory by intelligent vehicles. The trajectory planner is designed …

With the development of science and technology, self-driving technology is gradually being
applied to automobile semi-trailer trains. Aiming at the problem that it is challenging to plan …

Motion planning is an essential element of the modular architecture of autonomous vehicles,
serving as a bridge between upstream perception modules and downstream low-level …