Robots are now among us and even though they compete with human beings in terms of
performance and efficiency, they still fail to meet the challenge of performing a task optimally …

In this paper, a framework of active obstacle avoidance for autonomous vehicles based on
the hybrid soft actor-critic (SAC) algorithm is proposed. In the stage of local path planning, a …

The rapid development of 5G and Artificial Intelligence (AI) has promoted the widespread
application of autonomous driving in various scenarios. Currently, autonomous vehicles …

This paper presents a hierarchical motion planning approach that can provide real-time
parking plans for autonomous vehicles with limited memory. Through combining a high-level …

Autonomous driving has been gaining more and more attention in the last decades, thanks
to its positive social-economic impacts including the enhancement of traffic efficiency and …

Advancements in robotics and mapping technology have spotlighted the development of
Simultaneous Localization and Mapping (SLAM) systems as a key research area. However …

This study aims to present an effective local path-planning strategy for Autonomous Vehicles
(AVs) operating in a dynamic urban environment. The method combines bi-directional rule …

Autonomous vehicles are actively being developed from ADAS (Advanced Driver Assistance
Systems) toward fully autonomous vehicles. Motion planning is one of the most important …

Autonomous microrobots have been utilized in a wide range of applications. Energy-
efficient, real-time path planning for navigation is essential. This work presents a path …

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 …