Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles

Z Hu, S Lou, Y Xing, X Wang, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Verification and validation methods for decision-making and planning of automated vehicles: A review

Y Ma, C Sun, J Chen, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …

An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors

P Hang, C Lv, C Huang, J Cai, Z Hu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …

Cooperative decision making of connected automated vehicles at multi-lane merging zone: A coalitional game approach

P Hang, C Lv, C Huang, Y Xing… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To address the safety and efficiency issues of vehicles at multi-lane merging zones, a
cooperative decision-making framework is designed for connected automated vehicles …

Personalized trajectory planning and control of lane-change maneuvers for autonomous driving

C Huang, H Huang, P Hang, H Gao… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the aims of safe, smart and sustainable future mobility, a personalized approach of
trajectory planning and control based on user preferences is developed for lane-change of …

Decision making of connected automated vehicles at an unsignalized roundabout considering personalized driving behaviours

P Hang, C Huang, Z Hu, Y Xing… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To improve the safety and efficiency of the intelligent transportation system, particularly in
complex urban scenarios, in this paper a game theoretic decision-making framework is …

Path planning on large curvature roads using driver-vehicle-road system based on the kinematic vehicle model

J Wang, Y Yan, K Zhang, Y Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Path planning is a critical part for improving the driving safety and driver comfort of
autonomous vehicles (AVs), especially in complex maneuvering conditions. In addition …

Active safety control of X-by-wire electric vehicles: A survey

H Peng, X Chen - SAE International Journal of Vehicle Dynamics …, 2022 - sae.org
This article presents a survey on active safety control of X-by-wire electric vehicles. The steer-
bywire (SBW) system, brake-by-wire (BBW) system, and electric drive system are three …

Game-theoretic lane-changing decision making and payoff learning for autonomous vehicles

VG Lopez, FL Lewis, M Liu, Y Wan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this paper, the problem of decision making for autonomous vehicles changing lanes is
addressed by formulating multiple games in normal form for pairs of agents. This formulation …

Model predictive control for autonomous ground vehicles: a review

S Yu, M Hirche, Y Huang, H Chen… - Autonomous Intelligent …, 2021 - Springer
This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …