Computing systems for autonomous driving: State of the art and challenges
The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …
learning, and hardware acceleration) and the broad deployment of communication …
Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …
and transportation systems to digitize and synergize connected automated vehicles …
A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Artificial intelligence applications in the development of autonomous vehicles: A survey
The advancement of artificial intelligence (AI) has truly stimulated the development and
deployment of autonomous vehicles (AVs) in the transportation industry. Fueled by big data …
deployment of autonomous vehicles (AVs) in the transportation industry. Fueled by big data …
A critical review of advanced electric machines and control strategies for electric vehicles
Transportation electrification has attracted much attention in modern society. Among all
electrified transportation tools, electric vehicle (EV) is absolutely the one that has great …
electrified transportation tools, electric vehicle (EV) is absolutely the one that has great …
Human-like decision making for autonomous driving: A noncooperative game theoretic approach
Considering that human-driven vehicles and autonomous vehicles (AVs) will coexist on
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and …
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and …
Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving
The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …
vehicle intelligence. The significant increment of machine intelligence poses a new …
Path tracking and direct yaw moment coordinated control based on robust MPC with the finite time horizon for autonomous independent-drive vehicles
H Peng, W Wang, Q An, C Xiang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
It is a striking fact that the characteristics of parametric uncertainties, external disturbance,
time-varying and nonlinearities are available in the constructed model of autonomous …
time-varying and nonlinearities are available in the constructed model of autonomous …
Double deep reinforcement learning-based energy management for a parallel hybrid electric vehicle with engine start–stop strategy
Committed to optimizing the fuel economy of hybrid electric vehicles (HEVs), improving the
working conditions of the engine, and promoting research on deep reinforcement learning …
working conditions of the engine, and promoting research on deep reinforcement learning …
Authority allocation strategy for shared steering control considering human-machine mutual trust level
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 …
wire vehicles due to the removal of mechanical connections. To this end, this article …