A review of model predictive controls applied to advanced driver-assistance systems

A Musa, M Pipicelli, M Spano, F Tufano, F De Nola… - Energies, 2021 - mdpi.com
Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …

Review of lane-changing maneuvers of connected and automated vehicles: models, algorithms and traffic impact analyses

Z Wang, X Shi, X Li - Journal of the Indian Institute of Science, 2019 - Springer
Connected and automated vehicle (CAV) technologies have been developed to improve
traffic safety, mobility, and environmental impacts throughout the years. One of the enabling …

State-of-the-art trajectory tracking of autonomous vehicles

L Li, J Li, S Zhang - Mechanical Sciences, 2021 - ms.copernicus.org
Air pollution, energy consumption, and human safety issues have aroused people's concern
around the world. This phenomenon could be significantly alleviated with the development …

Simultaneous feasible local planning and path-following control for autonomous driving

MA Daoud, MW Mehrez, D Rayside… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, a new approach for lane change and double-lane change planning and
following for autonomous driving is proposed. Herein, we introduce a novel technique …

Autonomous vehicular overtaking maneuver: A survey and taxonomy

SS Lodhi, N Kumar, PK Pandey - Vehicular Communications, 2023 - Elsevier
Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with
advanced technologies. Overtaking is an important and challenging maneuver that needs to …

A double-layer model predictive control approach for collision-free lane tracking of on-road autonomous vehicles

W Yang, Y Chen, Y Su - Actuators, 2023 - mdpi.com
This paper proposes a double-layer model predictive control (MPC) algorithm for the
integrated path planning and trajectory tracking of autonomous vehicles on roads. The …

Hardware‐in‐the‐loop validation of an adaptive model predictive control on a connected and automated vehicle

E Landolfi, A Salvi, A Troiano… - International Journal of …, 2023 - Wiley Online Library
Connected and automated vehicles will characterize the future of the mobility, featured by
Smart Roads and Internet of Things technologies. Vehicles will behave as mobile nodes of a …

Robustness Analysis of a Distributed Adaptive Model Predictive Control for Connected and Automated Vehicles Against Delays

E Landolfi, A Salvi, A Troiano… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicle platooning control is a key-point for smart roads and cooperative-intelligent transport
systems (C-ITS), being able to reduce the risk of rear-end collisions and improve road safety …

Real-time unified trajectory planning and optimal control for urban autonomous driving under static and dynamic obstacle constraints

R Dempster, M Al-Sharman, D Rayside… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Trajectory planning and control have historically been separated into two modules in
automated driving stacks. Trajectory planning focuses on higher-level tasks like avoiding …

Gaussian process based model predictive control for overtaking scenarios at highway curves

W Liu, Y Zhai, G Chen, A Knoll - 2022 IEEE Intelligent Vehicles …, 2022 - ieeexplore.ieee.org
Model predictive control (MPC) is a commonly applied vehicle control technique, but its
performance depends highly on how accurate the model captures the vehicle dynamics. It is …