Vehicular mobility patterns and their applications to Internet-of-Vehicles: A comprehensive survey
With the growing popularity of the Internet-of-Vehicles (IoV), it is of pressing necessity to
understand transportation traffic patterns and their impact on wireless network designs and …
understand transportation traffic patterns and their impact on wireless network designs and …
Risk assessment and mitigation in local path planning for autonomous vehicles with LSTM based predictive model
Accurate trajectory prediction of surrounding vehicles enables lower risk path planning in
advance for autonomous vehicles, thus promising the safety of automated driving. A low-risk …
advance for autonomous vehicles, thus promising the safety of automated driving. A low-risk …
A temporal–spatial deep learning approach for driver distraction detection based on EEG signals
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 a novel driving distraction detection method that is based on a new …
Autonomous land vehicle path planning algorithm based on improved heuristic function of A-Star
J Zhang, J Wu, X Shen, Y Li - International Journal of …, 2021 - journals.sagepub.com
The path planning of autonomous land vehicle has become a research hotspot in recent
years. In this article, we present a novel path planning algorithm for an autonomous land …
years. In this article, we present a novel path planning algorithm for an autonomous land …
An interacting multiple model for trajectory prediction of intelligent vehicles in typical road traffic scenario
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 …
term trajectory prediction of an intelligent vehicle. This model is based on vehicle's physics …
Robust lateral trajectory following control of unmanned vehicle based on model predictive control
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 …
unmanned vehicle. The proposed solution is based on model predictive lateral control. The …
A memetic path planning algorithm for unmanned air/ground vehicle cooperative detection systems
The studies of Unmanned Air/Ground Vehicle (UAV/UGV) cooperative detection systems
have received much attention due to their wide applications in the disaster rescue, target …
have received much attention due to their wide applications in the disaster rescue, target …
Adaptive fault-tolerant boundary control of an autonomous aerial refueling hose system with prescribed constraints
In this article, we propose a redundant fault-tolerant and boundary constraint control in the
framework of adaptive method, the neural network approximation, and the barrier Lyapunov …
framework of adaptive method, the neural network approximation, and the barrier Lyapunov …
Interpretable decision-making for autonomous vehicles at highway on-ramps with latent space reinforcement learning
H Wang, H Gao, S Yuan, H Zhao… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …
making of autonomous vehicles at highway on-ramps. This method is based on the latent …
Design, modeling, control, and experiments for multiple AUVs formation
C Wang, W Cai, J Lu, X Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The multiple autonomous underwater vehicle (AUV) formation plays an important role in
underwater missions, such as oceanographic sampling and water pollution monitoring. This …
underwater missions, such as oceanographic sampling and water pollution monitoring. This …