In public roads, autonomous vehicles (AVs) face the challenge of frequent interactions with
human-driven vehicles (HDVs), which render uncertain driving behavior due to varying …

Motion prediction and cost evaluation are vital components in the decision-making system of
autonomous vehicles. However, existing methods often ignore the importance of cost …

In this paper, we focus on the decision-making challenge in autonomous driving, a central
and intricate problem influencing the safety and practicality of autonomous vehicles. We …

In collaborative human-robot manipulation, a robot must predict human intents and adapt its
actions accordingly to smoothly execute tasks. However, the human's intent in turn depends …

This abstract discusses the significant progress made in autonomous vehicles, focusing on
decision‐making systems and control algorithms. It explores recent advances, challenges …

Prediction is a vital component of motion planning for autonomous vehicles (AVs). By
reasoning about the possible behavior of other target agents, the ego vehicle (EV) can …

Autonomous driving systems require the ability to fully understand and predict the
surrounding environment to make informed decisions in complex scenarios. Recent …

In the realm of autonomous vehicles (AVs), ensuring safe and effective motion planning is a
paramount and challenging task, particularly in complex and dynamic scenarios. To …

Due to unavoidable accident risks, decisions in the motion planning of autonomous vehicles
have a complex moral component. Decisions previously made by humans will be executed …