Abstract Recent advances in Intelligent Transport Systems (ITS) and Artificial Intelligence
(AI) have stimulated and paved the way toward the widespread introduction of Autonomous …

This paper presents a latent space reinforcement learning method for interpretable decision-
making of autonomous vehicles at highway on-ramps. This method is based on the latent …

In this paper, we focus on the problem of highway merge via parallel-type on-ramp for
autonomous vehicles (AVs) in a decentralized non-cooperative way. This problem is …

Reinforcement learning has emerged as an important approach for autonomous driving. A
reward function is used in reinforcement learning to establish the learned skill objectives …

To avoid the potential risk triggered by the failure of the conflict arbitration of autonomous
vehicles, a driving intention prediction method based on the Long Short-Term Memory …

The path planning system is an important part of unmanned vehicles, and the development
of path planning technology will surely promote the rapid development of unmanned vehicle …

Humans make daily routine decisions based on their internal states in intricate interaction
scenarios. This article presents a probabilistically reconstructive learning approach to …

The driver model is the decision-making and control center of intelligent vehicle. In order to
improve the adaptability of intelligent vehicles under complex driving conditions, and …

Tracking control of Small Unmanned Ground Vehicles (SUGVs) is easily affected by the
nonlinearity and time-varying characteristics. An improved predictive control scheme based …

In order to improve the effectiveness of the avoidance trajectory planning method of
redundant robot, based on the simplification of the redundant seven-degree-of-freedom …