An Adaptive Inverse Model Control Method of Vehicle Yaw Stability With Active Front Steering Based on Adaptive RBF Neural Networks

T Xu, Y Zhao, Q Wang, H Deng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In order to enhance vehicle yaw stability, this article proposes a novel adaptive inverse
model control (AIMC) method for active front steering (AFS) design based on adaptive radial …

Experimenting with an Efficient Driver Behaviour Dynamical Model Applicable to Simulated Lane Changing Tasks

M Jirgl, O Mihálik, S Boujenfa, Z Bradáč… - IEEE Access, 2024 - ieeexplore.ieee.org
We test an approach to modelling the car driver behaviour during simulated lane changing
tasks, aiming to obtain a sufficiently precise model in the simplest possible form, namely …

A Simulation Study of Human Sensory Dynamics and Driver–Vehicle Response

CJ Nash, DJ Cole - Journal of Dynamic Systems …, 2022 - asmedigitalcollection.asme.org
In previous work, a driver model with visual and vestibular sensory dynamics was
developed, identified, and validated, using data from moving-base driving simulator …

Visuoinertial and visual feedback in online steering control

JY Liu, JRH Cooke, LPJ Selen, WP Medendorp - bioRxiv, 2024 - biorxiv.org
Multisensory integration has primarily been studied in static environments, where optimal
integration relies on the precision of the respective sensory modalities. However, in …

A Simple State-Space Model of Human Driver Applicable to Windy Conditions

J Čelko, O Mihálik, M Husák, Z Bradáč - IFAC-PapersOnLine, 2024 - Elsevier
The paper is concerned with the design, verification and evaluation of a car-driving test
scenario for human driver assessment. The scenario implemented in Unreal Engine adds …