The challenges of driving mode switching in automated vehicles: A review

L Hu, H Cai, J Huang, D Cao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The conversion between automated and manual driving is currently an inevitable topic for
automated vehicles. Firstly, from the concepts, types, and key issues of driving mode …

Authority allocation strategy for shared steering control considering human-machine mutual trust level

Z Fang, J Wang, J Liang, Y Yan, D Pi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Human-machine mutual trust has become one of the important factors restricting steer-by-
wire vehicles due to the removal of mechanical connections. To this end, this article …

Enhancing robust driver assistance control in distributed drive electric vehicles through integrated AFS and DYC technology

Z Fang, J Liang, C Tan, Q Tian, D Pi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The implementation of direct yaw moment control (DYC) in distributed drive electric vehicles
brings greater potential for enhancing vehicle maneuverability and stability performance …

A human-machine shared control framework considering time-varying driver characteristics

Z Fang, J Wang, Z Wang, J Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The uncertainties of driver's behavior seriously affect road safety and bring significant
challenges to the human-machine cooperative control. This paper proposes a human …

A bargaining game-based human–machine shared driving control authority allocation strategy

C Dai, C Zong, D Zhang, M Hua… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Research on game-based human-machine shared driving (HMSD) has traditionally been
constrained by stringent game theory assumptions, high requirements for automated …

Knowledge Distillation SegFormer-Based Network for RGB-T Semantic Segmentation

W Zhou, T Gong, W Yan - IEEE Transactions on Systems, Man …, 2024 - ieeexplore.ieee.org
Deep-learning-based semantic segmentation has received increasing research attention in
recent years. However, owing to complex architectures, existing approaches have failed to …

Eliminating Uncertainty of Driver's Social Preferences for Lane Change Decision-Making in Realistic Simulation Environment

Z Deng, W Hu, C Sun, D Chu, T Huang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The task of making lane change decisions for autonomous vehicles in mixed traffic is
intricate and challenging due to the uncertainty of surrounding vehicles. The uncertainty …

A finite-horizon inverse linear quadratic optimal control method for human-in-the-loop behavior learning

HN Wu, WH Li, M Wang - IEEE Transactions on Systems, Man …, 2024 - ieeexplore.ieee.org
The key to enhancing machine intelligence is to make the machine learn how human beings
perform tasks. In this article, the issue of finite-horizon inverse linear quadratic (LQ) optimal …

A direct yaw moment control frame through model predictive control considering vehicle trajectory tracking performance and handling stability for autonomous driving

L Jin, H Zhou, X Xie, B Guo, X Ma - Control Engineering Practice, 2024 - Elsevier
This paper considers the problem of optimal coordination of trajectory tracking performance
and handling stability for autonomous equipped with distributed drive electric vehicle …

An active front steering system design considering the CAN network delay

Y Lu, J Liang, F Wang, G Yin, D Pi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The x-by-wire technology promotes the rapid development of intelligent vehicles, but it
comes with the network delays, which would deteriorate the control performance. Therefore …