A novel driving-behavior-oriented method is proposed in this paper for improving trajectory
planning performance of autonomous vehicle driving on urban structural road. Differ from …

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 …

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 …

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 …

This study aims to solve path planning of intelligent vehicles in self-driving. In this study, an
improved path-planning method combining constraints of the environment and vehicle is …

This research addresses the limitations of existing autonomous vehicle path planning
algorithms, notably their slow processing speeds and suboptimal route efficiency. We …

This paper combines A* algorithm and quintic polynomial to propose a novel hybrid
trajectory planning method that can be used on both structured and unstructured roads for …

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 an efficient, robust, comfortable, and real-time motion planning
framework for on-road autonomous vehicles. This proposed framework aims to enhance the …

The autonomous vehicle consists of perception, decision‐making, and control system. The
study of path planning method has always been a core and difficult problem, especially in …