In this paper, we develop a unified trajectory planning and tracking control framework for
autonomous overtaking in structured roads. The framework consists of two individual MPC to …

Automated vehicles are increasingly getting main-streamed and this has pushed
development of systems for autonomous manoeuvring (eg, lane-change, merge, and …

This paper proposes a novel motion planning and tracking framework based on improved
artificial potential fields (APFs) and a lane change strategy to enhance the performance of …

With self-driving vehicles being pushed towards the main-stream, there is an increasing
motivation towards development of systems that autonomously perform manoeuvres …

This paper presents a novel hierarchical reinforcement learning (HRL) framework for
automated overtaking. The proposed framework is developed based on the semi-Markov …

The key motivation of this paper lies in the development of a high‐level decision‐making
framework for autonomous overtaking maneuvers on two‐lane country roads with dynamic …

In the field of path planning for autonomous vehicle, the existing studies separately consider
the path planning and path tracking problem. To fill in this research gap, this study proposes …

This paper presents a path planning and tracking framework to implement obstacle
avoidance for autonomous car. The safe driving area model, which is made up of a serious …

The existing obstacle-avoidance trajectory planning and trajectory tracking control
algorithms have limitations such as long-time consumption, high failure rate in dynamic …

In this paper, a hierarchical motion planning framework is proposed to solve complex
navigation problem in realistic dynamic traffic environments. Firstly, according to the …