A review of driving simulation technology and applications

L Bruck, B Haycock, A Emadi - IEEE Open Journal of Vehicular …, 2020 - ieeexplore.ieee.org
Driving simulation has become a very useful tool for vehicle design and research in industry
and educational institutes. This paper provides a review of driving simulator components …

A review on otolith models in human perception

H Asadi, S Mohamed, CP Lim, S Nahavandi - Behavioural brain research, 2016 - Elsevier
The vestibular system, which consists of semicircular canals and otolith, are the main
sensors mammals use to perceive rotational and linear motions. Identifying the most suitable …

Comparing simulator sickness in younger and older adults during simulated driving under different multisensory conditions

B Keshavarz, R Ramkhalawansingh, B Haycock… - … research part F: traffic …, 2018 - Elsevier
Driving simulators are valuable tools for traffic safety research as they allow for systematic
reproductions of challenging situations that cannot be easily tested during real-world driving …

Hadronic Light-By-Light Scattering Contribution to the Muon : An Effective Field Theory Approach

M Knecht, A Nyffeler, M Perrottet, E de Rafael - Physical Review Letters, 2002 - APS
The hadronic light-by-light contribution to a μ, the anomalous magnetic moment of the muon,
is discussed from the point of view of an effective low-energy theory. As an application, the …

Adaptive washout filter based on fuzzy logic for a motion simulation platform with consideration of joints' limitations

MRC Qazani, H Asadi, T Bellmann… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Motion simulation platforms (MSPs) are widely used to generate driving/flying motion
sensations for the users. The MSPs have a restricted workspace area due to the dynamical …

An optimal motion cueing algorithm using the inverse kinematic solution of the hexapod simulation platform

MRC Qazani, H Asadi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The vehicle motion signals is not able to be replicated using the simulation-based motion
platform (SBMP) because of the workspace boundaries. The workspace limitations are …

Robust optimal motion cueing algorithm based on the linear quadratic regulator method and a genetic algorithm

H Asadi, S Mohamed, CP Lim… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The aim of this paper is to design and develop an optimal motion cueing algorithm (MCA)
based on the genetic algorithm (GA) that can generate high-fidelity motions within the …

Prepositioning of a land vehicle simulation-based motion platform using fuzzy logic and neural network

MRC Qazani, H Asadi, S Mohamed… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The motion cueing algorithms (MCAs) is the method that reproduces the motion sensation of
the real vehicle for the users of simulation-based motion platforms (SBMPs). Classical MCA …

A new prepositioning technique of a motion simulator platform using nonlinear model predictive control and recurrent neural network

MRC Qazani, H Asadi, L Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The motion cueing algorithm (MCA) is the main algorithm in motion simulators in charge of
generating vehicle motions within the platform's constraints. The classical washout filter is …

Increasing motion fidelity in driving simulators using a fuzzy-based washout filter

H Asadi, CP Lim, S Mohamed… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The motion cueing algorithm is the procedure used to regenerate vehicle motion cues by
transforming translational and rotational motions of a simulated vehicle into the simulator …