Motion cueing algorithms for small driving simulator

Nehaoua, Lamri; Arioui, Hichem; Éspié, Stéphane; Mohellebi, Hakim

doi:10.1109/robot.2006.1642187

Cited by 26 publications

(28 citation statements)

References 14 publications

(21 reference statements)

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“…This is done to compare the different algorithms for the same maneuver. Parameters of each algorithm are adjusted to respect the physical constraints of the platform (±0.6m) [39]. The platform's longitudinal acceleration and position are saved and plotted using Matlab/Simulink software to be analyzed.…”

Section: A Motion Cueing Algorithmsmentioning

confidence: 99%

Design and Control of a Small-Clearance Driving Simulator

Nehaoua¹,

Mohellebi

Amouri

et al. 2008

IEEE Trans. Veh. Technol.

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Abstract-This paper presents a driving simulation which aim is twofold: (i) investigate the possibility to reduce motion clearance in order to achieve compact and low cost driving simulators, and (ii) evaluate multimodal and immersive virtual reality motion restitution in platooning driving. The choice has been made for a driving simulator having at least two degrees of freedom. These consist of the longitudinal displacement and seat rotations. The simulator is also equipped with force feedback steering wheel for virtual drive assistance. These components are gathered on a serial kinematics type platform in order to facilitate control scheme, and avoid the architecture complexity. A comparative study was made to devise a motion cueing strategy, taking into account both psychophysical and technological constraints. Experimentations were carried out for several cases combinations of longitudinal displacement and seat rotations.

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Section: A Motion Cueing Algorithmsmentioning

confidence: 99%

Design and Control of a Small-Clearance Driving Simulator

Nehaoua¹,

Mohellebi

Amouri

et al. 2008

IEEE Trans. Veh. Technol.

Self Cite

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“…Motion cueing for a 2 DOF (degrees of freedom) driving simulator has been examined by [6]. The theme of that research has been to test and compare performances of different washout algorithms applied to such sort of platform.…”

Section: Introductionmentioning

confidence: 99%

“…The theme of that research has been to test and compare performances of different washout algorithms applied to such sort of platform. The results have depicted that there has been no significant difference among those approaches [6]. The effects of different washout algorithms used for Stewart platforms (6 DOF) on subjective and objective ratings have been discussed in [2].…”

Section: Introductionmentioning

confidence: 99%

“…This paper addresses a methodology in order to rate the loss of adhesion (LOA) as well as the agility and alertness level of the drivers as a correlated function of the vestibular cues with the EMG RMS total power. Due to the restricted workspace, it is not possible to represent the vehicle dynamics permanently with scale one to one on the motion platform [6] [12] [16]- [18].…”

Section: Introductionmentioning

confidence: 99%

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The Role of a Novel Discrete-Time MRAC Based Motion Cueing on Loss of Control at a Hexapod Driving Simulator

Aykent¹,

Paillot²,

Merienne³

et al. 2015

ICA

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The objective of this paper is to present the advantages of Model reference adaptive control (MRAC) motion cueing algorithm against the classical motion cueing algorithm in terms of biomechanical reactions of the participants during the critical maneuvers like chicane in driving simulator real-time. This study proposes a method and an experimental validation to analyze the vestibular and neuromuscular dynamics responses of the drivers with respect to the type of the control used at the hexapod driving simulator. For each situation, the EMG (electromyography) data were registered from arm muscles of the drivers (flexor carpi radialis, brachioradialis). In addition, the roll velocity perception thresholds (RVT) and roll velocities (RV) were computed from the real-time vestibular level measurements from the drivers via a motion-tracking sensor. In order to process the data of the EMG and RVT, Pearson's correlation and a two-way ANOVA with a significance level of 0.05 were assigned. Moreover, the relationships of arm muscle power and roll velocity with vehicle CG (center of gravity) lateral displacement were analyzed in order to assess the agility/alertness level of the drivers as well as the vehicle loss of control characteristics with a confidence interval of 95%. The results showed that the MRAC algorithm avoided the loss of adhesion, loss of control (LOA, LOC) more reasonably compared to the classical motion cueing algorithm. According to our findings, the LOA avoidance decreased the neuromuscular-visual cues level conflict with MRAC algorithm. It also revealed that the neuromuscular-vehicle dynamics conflict has influence on visuo-vestibular conflict; however, the visuo-vestibular cue conflict does not influence the neuromuscular-vehicle dynamics interactions.

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“…A driving simulator is virtual reality tool allows users to drive in safe way and test several scenarios on same system. These motion cueing platforms were firstly used for aircraft simulators and were democratized for cars and recently for motorcycle [1][2] [3]. Driving simulators became very accessible by technological headway.…”

Section: Introductionmentioning

confidence: 99%

2 DOF low cost platform for driving simulator: Modeling and control

Arioui

Hima

Nehaoua

2009

2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics

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Abstract-In order to be an effective tool for driver evaluation and education, driving simulators need to be better designed to reduce simulator sickness. In this paper, we expose platform design, description and the modeling aspects of a 2 DOF low cost motion platform allowing the restitution of the longitudinal and yaw movements. To enhance the drive immersion in the virtual world, a haptic feedback steering wheel will be implemented.The whole system is considered as a two coupled systems and linked mechanically. The first system consists in motorized rail for the longitudinal movement while the second system consists in motorized yaw allowing either curve-taking movement.The platform mechanics is proposed as presented in the next sections to study the driving simulator sickness on the driver and especially the yaw component. Experimental studies were made to devise a characterization of the platform capabilities and frequency responses. Experimentations were carried out for classical drive operation. First conclusion and future works are established.Index Terms-Driving Simulator design, Dynamics and Modeling.

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Motion cueing algorithms for small driving simulator

Cited by 26 publications

References 14 publications

Design and Control of a Small-Clearance Driving Simulator

Design and Control of a Small-Clearance Driving Simulator

The Role of a Novel Discrete-Time MRAC Based Motion Cueing on Loss of Control at a Hexapod Driving Simulator

2 DOF low cost platform for driving simulator: Modeling and control

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