This paper proposes a motion planning strategy for a robot to safely interact with humans
exhibiting uncertain actions. The human actions are often encoded by the internal states that …

Driving behavior prediction plays an increasingly important role in the development of
autonomous driving functions and Advanced Driver Assistance Systems (ADAS). The more …

The driving style of an Autonomous Vehicle (AV) refers to how it behaves and interacts with
other AVs. In a multi-vehicle autonomous driving system, an AV capable of identifying the …

In the era of electric vehicles, the reliability of power electronics has become a crucial part as
the industry evolves. Changes in electrical parameters caused by aging and degradation …

Trajectory planning is one of the key challenges to enable automated driving system on the
road. In structured highway environment, lane change trajectory planning algorithm for …

Evaluation of autonomous vehicles is one of the major challenges before they can be
released. Due to the advantages in efficiency, cost, and safety, scenario-based simulation …

The interactions between driver, vehicle and environment generate vehicle's behaviors, and
the interactions of vehicle groups shape the traffic modes. Therefore, the conditionally or …

随着深度强化学习的研究与发展, 强化学习在博弈与优化决策, 智能驾驶等现实问题中的应用也
取得显著进展. 然而强化学习在智能体与环境的交互中存在人工设计奖励函数难的问题 …

The focus of this paper is to propose a driver model that incorporates human reasoning
levels as actions during interactions with other drivers. Different from earlier work using …

The past decade has witnessed significant breakthroughs in autonomous driving
technologies. We are heading toward an intelligent and efficient transportation system …