Decision-making and motion planning are extremely important in autonomous driving to
ensure safe driving in a real-world environment. This study proposes an online evolutionary …

Emergency vehicle transportation is important for responding to and transporting individuals
during emergencies. This type of transportation faces several issues, such as road safety …

As the complexity of autonomous vehicles (AVs) continues to increase and artificial
intelligence algorithms are becoming increasingly ubiquitous, a novel safety concern known …

Safety is the primary concern in the motion planning and decision-making of the virtual
driver that provides prescriptions to the real human driver and even performs self-driving in …

Decision-making for autonomous vehicles is critical to achieving safe and efficient
autonomous driving. In recent years, deep reinforcement learning (DRL) techniques have …

As autonomous driving advances, autonomous vehicles will share the road with human
drivers. This requires autonomous vehicles to adhere to human traffic laws under safe …

Recently, thanks to the introduction of human feedback, Chat Generative Pre-trained
Transformer (ChatGPT) has achieved remarkable success in the language processing field …

In recent years, autonomous driving technology has been changing from “human adapting
to vehicle” to “vehicle adapting to human”. To improve the adaptability of autonomous …

Nowadays, there is a huge gap between autonomous vehicles and mankind in terms of the
decision response against some dangerous scenarios, which would has stressed the …

This study aims to propose a decision-making method based on artificial potential fields
(APFs) and finite state machines (FSMs) in emergency conditions. This study presents a …