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 …

In this paper, a real-time path-planning algorithm that provides an optimal path for off-road
autonomous driving with static obstacles avoidance is presented. The proposed planning …

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 …

There are two shortcomings in the application of traditional A* algorithm in the path planning
of autonomous driving. One is that the vehicle environment description method suitable for …

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 …

Trajectory planning is one of the key and challenging tasks in autonomous driving. This
paper proposes a novel method that dynamically plans trajectories, with the aim to achieve …

Automatic lane-changing is a complex and critical task for autonomous vehicle control.
Existing researches on autonomous vehicle technology mainly focus on avoiding obstacles; …

The path planning of autonomous land vehicle has become a research hotspot in recent
years. In this article, we present a novel path planning algorithm for an autonomous land …

An adaptive potential field is designed to adapt the acceleration/deceleration and mass of
the obstacle. The potential fields are established in a transformed road coordinate system to …

This article presents a novel path planning algorithm for autonomous land vehicles. There
are four main contributions: Firstly, an evaluation standard is introduced to measure the …