Research advances and challenges of autonomous and connected ground vehicles

A Eskandarian, C Wu, C Sun - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Platoon transitional maneuver control system: A review

S Badnava, N Meskin, A Gastli, MA Al-Hitmi… - IEEE …, 2021 - ieeexplore.ieee.org
Connectivity and autonomy are considered two of the most promising technologies to
improve mobility, fuel consumption, travel time, and traffic safety in the automated …

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 …

A model predictive controller with switched tracking error for autonomous vehicle path tracking

C Sun, X Zhang, Q Zhou, Y Tian - IEEE Access, 2019 - ieeexplore.ieee.org
Autonomous vehicle path tracking accuracy and vehicle stability can hardly be
accomplished by one fixed control frame in various conditions due to the changing vehicle …

Electric vehicle powertrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle

MHR Miranda, FL Silva, MAM Lourenço, JJ Eckert… - Energy, 2022 - Elsevier
The four-wheel independent-drive electric vehicle (FWID-EV) stands out among the
electrically-propelled vehicles due to its higher efficiency. This EV configuration faces an …

Controlling an autonomous vehicle with deep reinforcement learning

A Folkers, M Rick, C Büskens - 2019 IEEE Intelligent Vehicles …, 2019 - ieeexplore.ieee.org
We present a control approach for autonomous vehicles based on deep reinforcement
learning. A neural network agent is trained to map its estimated state to acceleration and …

Research on autonomous vehicle path tracking control considering roll stability

F Lin, S Wang, Y Zhao, Y Cai - Proceedings of the Institution …, 2021 - journals.sagepub.com
For autonomous vehicle path tracking control, the general path tracking controllers usually
only consider vehicle dynamics' constraints, without taking vehicle stability evaluation index …

A novel robust event‐triggered fault tolerant automatic steering control approach of autonomous land vehicles under in‐vehicle network delay

J Zhang, B Zhang, N Zhang, C Wang… - International Journal of …, 2021 - Wiley Online Library
This paper proposes a novel robust event‐triggered fault tolerant automatic steering control
strategy for autonomous land vehicles to achieve path tracking and vehicle lateral motion …

[HTML][HTML] Longitudinal and lateral control methods from single vehicle to autonomous platoon

L Song, J Li, Z Wei, K Yang, E Hashemi… - Green Energy and …, 2023 - Elsevier
To successfully implement the platoon control of connected and automated vehicles, it is
necessary to address motion control issues to achieve longitudinal and lateral collaborative …

Experimental modelling and optimal torque vectoring control for 4WD vehicles

E Morera-Torres, C Ocampo-Martinez… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper addresses the design of a torque vectoring architecture to control the four
electrical machines in a four-wheel-drive (4WD) formula-type competition vehicle. The …