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Detection of driving distractions and their impacts
For decades, road crashes have caused many deaths and injuries and generally have had a
severe social and economic impact on societies. According to studies, driver distraction has …
severe social and economic impact on societies. According to studies, driver distraction has …
A linear time-varying model predictive control-based motion cueing algorithm for hexapod simulation-based motion platform
The hexapod manipulator is the most common motion platform, which is widely used as a
simulation-based motion platform (SBMP). As the hexapod manipulator has a limited …
simulation-based motion platform (SBMP). As the hexapod manipulator has a limited …
Multiobjective and interactive genetic algorithms for weight tuning of a model predictive control-based motion cueing algorithm
Driving simulators are effective tools for training, virtual prototy**, and safety assessment
which can minimize the cost and maximize road safety. Despite the aim of a realistic motion …
which can minimize the cost and maximize road safety. Despite the aim of a realistic motion …
Prediction of motion simulator signals using time-series neural networks
A motion cueing algorithm (MCA) is employed to transform the linear and angular motion
signals generated from a motion simulator without violating the physical and dynamical …
signals generated from a motion simulator without violating the physical and dynamical …
Prepositioning of a land vehicle simulation-based motion platform using fuzzy logic and neural network
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 …
the real vehicle for the users of simulation-based motion platforms (SBMPs). Classical MCA …
Increasing motion fidelity in driving simulators using a fuzzy-based washout filter
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 …
transforming translational and rotational motions of a simulated vehicle into the simulator …
High-fidelity hexarot simulation-based motion platform using fuzzy incremental controller and model predictive control-based motion cueing algorithm
The real vehicle motion signals cannot be applied for the simulation-based motion platforms
(SBMPs) due to the restricted workspace of the SBMPs. The motion cueing algorithms …
(SBMPs) due to the restricted workspace of the SBMPs. The motion cueing algorithms …
An optimal washout filter for motion platform using neural network and fuzzy logic
To experience the motion sensation of a real vehicle through a motion simulator, a motion
cueing algorithm (MCA) is required to transform the vehicle motions to the driving motion …
cueing algorithm (MCA) is required to transform the vehicle motions to the driving motion …
Time series prediction of driving motion scenarios using fuzzy neural networks: Motion signal prediction using FNNs
Motion signals can be reproduced using a simulation-based motion platform (SBMP) and
virtual reality. In this respect, time series prediction of the driving motion scenarios can …
virtual reality. In this respect, time series prediction of the driving motion scenarios can …
A new gantry-tau-based mechanism using spherical wrist and model predictive control-based motion cueing algorithm
The 3 degree-of-freedom Gantry-Tau manipulator with the addition of the spherical wrist
mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion …
mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion …