Distracted driving has been recognized as a major challenge to traffic safety improvement.
This article presents a novel driving distraction detection method that is based on a new …

This article presents an interacting multiple model (IMM) for short-term prediction and long-
term trajectory prediction of an intelligent vehicle. This model is based on vehicle's physics …

This article presents a trajectory following control solution for the lateral motion of an
unmanned vehicle. The proposed solution is based on model predictive lateral control. The …

Cyclist trajectory prediction is of great significance for both active collision avoidance and
path planning of intelligent vehicles. This paper presents a trajectory prediction method for …

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 …

The multiple autonomous underwater vehicle (AUV) formation plays an important role in
underwater missions, such as oceanographic sampling and water pollution monitoring. This …

Artificial intelligence-enhanced autonomous unmanned systems, such as large-scale
autonomous robot networks, are widely used in logistic and industrial applications. In this …

For the automobile design and manufacturing, as a typical representative of the industry, the
development and upgrading represent the application of the state-of-the-art technology in …

Nonlinear robust control of trajectory-following for autonomous ground electric vehicles with
active front steering system Page 1 AIMS Mathematics, 8(5): 11151–11179. DOI: 10.3934/math.2023565 …

In this paper, a model predictive control (MPC) strategy is developed to realize collision
avoidance with dynamic obstacle vehicles for an autonomous vehicle. A novel collision …