2018
DOI: 10.1177/0037549718815972
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Abstract: Optimization-based motion cueing algorithms based on model predictive control have been recently implemented to reproduce the motion of a car within the limited workspace of a driving simulator. These algorithms require a reference of the future vehicle motion to compute a prediction of the system response. Assumptions regarding the future reference signals must be made in order to develop effective prediction strategies. However, it remains unclear how the prediction of future vehicle dynamics influences the … Show more

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Cited by 13 publications
(5 citation statements)
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“…While it is common to conduct human subjects studies to validate novel driving simulator designs, objective criteria set clear standards for evaluating drivers' level of immersion that can be applied even if the simulator design changes. Underscoring this approach, recent work by Grottoli et al [26] and by Biemelt et al [27] use objective metrics of vestibular feedback quality and known perception thresholds to assess the effectiveness of different motion cueing algorithms. In our method, the vestibular feedback experienced by the driver is verified objectively by comparing the difference between the real and reference yaw rate to known yaw perception thresholds derived by Nesti et al from human subjects studies [21].…”
Section: F Discussionmentioning
confidence: 99%
“…While it is common to conduct human subjects studies to validate novel driving simulator designs, objective criteria set clear standards for evaluating drivers' level of immersion that can be applied even if the simulator design changes. Underscoring this approach, recent work by Grottoli et al [26] and by Biemelt et al [27] use objective metrics of vestibular feedback quality and known perception thresholds to assess the effectiveness of different motion cueing algorithms. In our method, the vestibular feedback experienced by the driver is verified objectively by comparing the difference between the real and reference yaw rate to known yaw perception thresholds derived by Nesti et al from human subjects studies [21].…”
Section: F Discussionmentioning
confidence: 99%
“…While it is common to conduct human subjects studies to validate novel driving simulator designs, objective criteria set clear standards for evaluating drivers' level of immersion that can be applied even if the simulator design changes. Underscoring this approach, recent work by Grottoli et al [26] and by Biemelt et al [27] use objective metrics of vestibular feedback quality and known perception thresholds to assess the effectiveness of different motion cueing algorithms. In our method, the vestibular feedback experienced by the driver is verified objectively by comparing the difference between the real and reference yaw rate to known yaw perception thresholds derived by Nesti et al from human subjects studies [21].…”
Section: F Discussionmentioning
confidence: 99%
“…Interquartile range (IQR) of the actuator length can be used to analyze how an MCA uses the available actuator workspace [38]. It is a measure of variability and is defined as the difference between the 75th and 25th percentile of the given sample.…”
Section: Indicators For Workpace Usementioning
confidence: 99%