On the Objective Evaluation of Motion Cueing in Vehicle Simulations

Casas, Sergio; Portales-Ricart, Cristina; Morillo, Pedro; Cruz-Neira, Carolina

doi:10.1109/tits.2020.2978498

Cited by 16 publications

(6 citation statements)

References 76 publications

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“…In [12] [13], a Model Predictive Control (MPC) has been proposed in order to improve the realism of motions produced by the platform, taking into account its workspace, where the algorithm parameters are set for the worst case scenario. In [2], authors present an objective method for assessing the perceptual fidelity of motion in vehicle simulators. [14] has proposed a methodology to implement classical MCA in discrete time recursive equations.…”

Section: Simulator Motion Cuesmentioning

confidence: 99%

“…Therefore, the motion generated by a simulator is generally different from the motion expected by its user because of these technological restrictions. Then, the reproduction of self-motion perception is a key strategy to reach perceptual validity [2]. Indeed, a simulator should provide high-fidelity motion cues to simulate vehicle motion and provide the user with high-quality self-motion perception.…”

Section: Introductionmentioning

confidence: 99%

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A generic power wheelchair lumped model in the sagittal plane: towards realistic self-motion perception in a virtual reality simulator

Grzeskowiak

Breton

Devigne

et al. 2023

2023 IEEE International Conference on Robotics and Automation (ICRA)

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Simulator Motion Cuesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A generic power wheelchair lumped model in the sagittal plane: towards realistic self-motion perception in a virtual reality simulator

Grzeskowiak

Breton

Devigne

et al. 2023

2023 IEEE International Conference on Robotics and Automation (ICRA)

View full text Add to dashboard Cite

show abstract

“…While this method provides a straightforward evaluation, its accuracy and reliability are compromised due to various subjective factors influencing participants' ratings. Casas proposed Motion Fidelity Evaluation (MFE) and Perception Fidelity Evaluation (PFE) [9]. MFE involves comparing the The advantage of the MFE is that it has definite signal comparison and analysis method and evaluation indicators.…”

Section: Introductionmentioning

confidence: 99%

Objective Evaluation of Motion Cueing Algorithms for Vehicle Driving Simulator Based on Criteria Importance through Intercriteria Correlation (CRITIC) Weight Method Combined with Gray Correlation Analysis

Jiang,

Chen,

Jiao

et al. 2024

Machines

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Perception-based fidelity evaluation metrics are crucial in driving simulators, as they play a key role in the automatic tuning, assessment, and comparison of motion cueing algorithms. Nevertheless, there is presently no unified and effective evaluation framework for these algorithms. To tackle this challenge, our study initially establishes a model rooted in visual–vestibular interaction and head tilt angle perception systems. We then employ metrics like the Normalized Average Absolute Difference (NAAD), Normalized Pearson Correlation (NPC), and Estimated Delay (ED) to devise an evaluation index system. Furthermore, we use a combined approach incorporating CRITIC and gray relational analysis to ascertain the weights of these indicators. This allows us to consolidate them into a comprehensive evaluation metric that reflects the overall fidelity of motion cueing algorithms. Subjective evaluation experiments validate the reasonableness and efficacy of our proposed Perception Fidelity Evaluation (PFE) method.

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“…It will not be easy to perceive a driver’s behavior in such an environment. Driving simulators are considered very important to improve road safety through proper indoor training and improved vehicle design [ 3 ]. Their use is crucial when the number of vehicles is considerably large, and road structure is also not very appropriate.…”

Section: Introductionmentioning

confidence: 99%

Investigation of vibration’s effect on driver in optimal motion cueing algorithm

Ahmad,

Tariq,

Yasin

et al. 2023

PLoS ONE

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The increased sensation error between the surroundings and the driver is a major problem in driving simulators, resulting in unrealistic motion cues. Intelligent control schemes have to be developed to provide realistic motion cues to the driver. The driver’s body model incorporates the effects of vibrations on the driver’s health, comfort, perception, and motion sickness, and most of the current research on motion cueing has not considered these factors. This article proposes a novel optimal motion cueing algorithm that utilizes the driver’s body model in conjunction with the driver’s perception model to minimize the sensation error. Moreover, this article employs H∞ control in place of the linear quadratic regulator to optimize the quadratic cost function of sensation error. As compared to state of the art, we achieve decreased sensation error in terms of small root-mean-square difference (70%, 61%, and 84% decrease in case of longitudinal acceleration, lateral acceleration, and yaw velocity, respectively) and improved coefficient of cross-correlation (3% and 1% increase in case of longitudinal and lateral acceleration, respectively).

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On the Objective Evaluation of Motion Cueing in Vehicle Simulations

Cited by 16 publications

References 76 publications

A generic power wheelchair lumped model in the sagittal plane: towards realistic self-motion perception in a virtual reality simulator

A generic power wheelchair lumped model in the sagittal plane: towards realistic self-motion perception in a virtual reality simulator

Objective Evaluation of Motion Cueing Algorithms for Vehicle Driving Simulator Based on Criteria Importance through Intercriteria Correlation (CRITIC) Weight Method Combined with Gray Correlation Analysis

Investigation of vibration’s effect on driver in optimal motion cueing algorithm

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