A core issue inherent to decision‐making and path‐planning tasks is managing the
uncertainties in the motion of dynamic obstacles. Therefore, this article proposes a new …

Motion planning is an essential part of autonomous vehicles. The planning process should
respond to environmental changes in real time to ensure safety. This paper proposes an …

To address the problems of high fuel consumption and severe traffic congestion caused by
blindly cruising, we propose a Gurobi optimization algorithm combined with an A ngle and …

In this paper, a safety-guaranteed game-theoretical velocity planning framework in a
hierarchical manner is proposed to generate safe, ride comfort, and travel efficiency …

Aiming at the problem of local path planning for structured roads, this paper proposes a
framework of local path-speed planning for autonomous driving, which takes safety as the …

At present, intelligent vehicles mainly consist of three modules: environmental perception,
path planning, and intelligent control. In the field of path planning, a single connection …

Because the real road conditions are complex and changeable, the vehicle cannot drive
normally according to the predetermined trajectory. Therefore, for the four-wheel drive …

With the rapid development of autonomous driving, much attention has been paid to the
development of collision avoidance systems in emergency scenarios that have a critical …

This paper presents a methodology of trajectory planning for the surrounding-aware lane
change maneuver of autonomous vehicles based on a data-driven method. The lateral …