A review of model predictive controls applied to advanced driver-assistance systems
Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …
Intelligent vehicle path tracking control based on improved MPC and hybrid PID
S Peicheng, L Li, X Ni, A Yang - IEEE Access, 2022 - ieeexplore.ieee.org
In this study, to improve the accuracy of path tracking in intelligent vehicles, we propose an
intelligent vehicle path-tracking control method based on improved model predictive control …
intelligent vehicle path-tracking control method based on improved model predictive control …
Establishment of a two-axis commercial vehicle 6DOF prediction model for nonlinear MPC controller
Most of the commercial vehicle dynamics models used by nonlinear MPC controllers are 3-
DOF models, which do not reflect the motion constraints of sprung and unsprung masses …
DOF models, which do not reflect the motion constraints of sprung and unsprung masses …
Fuzzy adaptive cruise control with model predictive control responding to dynamic traffic conditions for automated driving
Abstract Traditional Adaptive Cruise Control (ACC) systems often struggle to dynamically
adapt to rapidly changing traffic conditions, resulting in suboptimal performance …
adapt to rapidly changing traffic conditions, resulting in suboptimal performance …
Two-Step Quadratic Programming for Physically Meaningful Smoothing of Longitudinal Vehicle Trajectories
Longitudinal vehicle trajectories suffer from errors and noise because of detection and
extraction techniques, challenging their applications. Existing smoothing methods either lack …
extraction techniques, challenging their applications. Existing smoothing methods either lack …
Optimal hybrid strategy in adaptive cruise control system for enhanced autonomous vehicle stability and safety
The adaptive cruise control system relies heavily on the vehicle's longitudinal control
algorithm. Traditional longitudinal control algorithms typically depend on precise vehicle …
algorithm. Traditional longitudinal control algorithms typically depend on precise vehicle …
Comparative analysis of different spacing policies for longitudinal control in vehicle platooning
Most existing automated driving vehicles in the platoon equipped with an Adaptive Cruise
Control (ACC) systems and a Cooperative Adaptive Cruise Control (CACC) systems have …
Control (ACC) systems and a Cooperative Adaptive Cruise Control (CACC) systems have …
Research on a Multimode Adaptive Cruise Control Strategy with Emergency Lane-Changing Function
D Huang, J Ou, E Yang, J Lin, Y Zhang - World Electric Vehicle Journal, 2023 - mdpi.com
In emergency situations, it is difficult to meet the requirements of safe driving only by relying
on the braking system, and the probability of accidents can be reduced by employing an …
on the braking system, and the probability of accidents can be reduced by employing an …
A discrete-time linear model predictive control for motion planning of an autonomous vehicle with adaptive cruise control and obstacle overtaking
JH Seo, SK Kwon, KD Kim - Advances in Mechanical …, 2022 - journals.sagepub.com
Motion planners for autonomous driving improve traffic safety through collision-free motion
generation along the path. However, conventional motion planners render passengers …
generation along the path. However, conventional motion planners render passengers …
Finite-time speed observer design for asymptotic consensus of bidirectional longitudinal automated vehicle groups in the presence of acceleration constraint
H Chehardoli - International Journal of Dynamics and Control, 2024 - Springer
The asymptotic consensus problem of decentralized bidirectional (BD) longitudinal
automated vehicle groups (LAVGs) is investigated in this paper. The communication …
automated vehicle groups (LAVGs) is investigated in this paper. The communication …