Abstract
Testing of virtual cars in multi-modal virtual environment is an important step in the validation process of new concepts and technologies. A driving simulator with realistic interaction, operating environment and feedback eliminates the difficulties of road test, but allows the understanding of driving behavior, testing driver assistant systems and for traffic research. A static driving simulator is lacking the required displacement and acceleration feedback, but a hexapod motion system can reproduce some of these. The objective of this paper is to present a predictive actuation algorithm for controlling the position of a driving simulator in order to maximize the sensation of displacement and acceleration of the driver. Several driving scenarios are considered and for each an ideal starting point of the motion platform is computed. In case the driver is in the process of approaching a road segment from one the analyzed scenarios, the predictive actuation module will try to move the driver of the simulation platform from the current position towards the ideal position within the perceptibility thresholds.
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Slob, J.J.: State-of-the-art driving simulators, a literature survey. DCT report 107 (2008)
Munir, S., Hovd, M., Fang, Z., Olaru, S., Kemeny, A.: Complexity reduction in motion cueing algorithm for the ULTIMATE driving simulator. IFAC-PapersOnLine 50(1), 10729–10734 (2017)
Olivari, M., Pretto, P., Venrooij, J., Bülthoff, H.H.: Defining the kinematic requirements for a theoretical driving simulator. Transp. Res. F: Traffic Psychol. Behav. (2017)
Fang, Z., Kemeny, A.: Motion cueing algorithms for a real-time automobile driving simulator. In: Driving Simulator Conference, Paris, pp. 6–7 (2012)
Casas, S., Olanda, R., Dey, N.: Motion cueing algorithms: a review: algorithms, evaluation and tuning. Int. J. Virtual Augment. Real. (IJVAR) 1(1), 90–106 (2017)
Asadi, H., Mohamed, S., Nelson, K., Nahavandi, S.: A linear quadratic optimal motion cueing algorithm based on human perception. In: Proceedings of Australasian Conference on Robotics and Automation, pp. 1–9. Australian Robotics and Automation Association (2014)
Cleij, D., Venrooij, J., Pretto, P., Katliar, M., Bülthoff, H.H., Steffen, D., Schöner, H.P.: Comparison between filter-and optimization-based motion cueing algorithms for driving simulation. Transp. Res. F: Traffic Psychol. Behav. (2017)
Aminzadeh, M., Mahmoodi, A., Sabzehparvar, M.: Optimal motion-cueing algorithm using motion system kinematics. Eur. J. Control 18(4), 363–375 (2012)
Hansson, P., Stenbeck, A., Kusachov, A., Bruzelius, F., Augusto, B.: Prepositioning of driving simulator motion systems. Int. J. Veh. Syst. Model. Test. 10(3), 288–304 (2015)
Chapron, T., Colinot, J.P.: The new PSA Peugeot–Citroen advanced driving simulator overall design and motion cue algorithm. In: DSC Proceedings of Driving Simulation Conference, Iowa City (2007)
Weiß, C.: Control of a dynamic driving simulator: time-variant motion cueing algorithms and prepositioning. Doctoral dissertation, Universität Stuttgart, DLR (2006)
Kemeny, A., Panerai, F.: Evaluating perception in driving simulation experiments. Trends Cognit. Sci. 7(1), 31–37 (2003)
Reymond, G., Heidet, A., Canry, M., Kemeny, A.: Validation of Renault’s dynamic simulator for adaptive cruise control experiments. In: Proceedings of the Driving Simulator Conference (DSC 2000), pp. 181–191 (2000)
Sadraei, E., Romano, R., Advani, S., Jamson, A.H., Markkula, G., Boer, E.R.: Understanding cue utility in controlled evasive driving manoeuvres: optimizing vestibular cues for simulator & human abilities. IFAC-PapersOnLine 49(19), 414–419 (2016)
Garrett, N., Best, M.: Driving simulator motion cueing algorithms a survey of the state of the art. In: Proceedings of the 10th International Symposium on Advanced Vehicle Control (AVEC), Loughborough, pp. 183–188 (2010)
You, K.S., Lee, M.C., Kang, E., Yoo, W.S.: Development of a washout algorithm for a vehicle driving simulator using new tilt coordination and return mode. J. Mech. Sci. Technol. 19(1), 272–282 (2005)
Thöndel, E.: Design and optimisation of a motion cueing algorithm for a truck simulator. In: 26th Annual European Simulation and Modelling Conference, vol. 22, no. 24, pp. 1–10 (2012)
Reymond, G., Kemeny, A.: Motion cueing in the Renault driving simulator. Veh. Syst. Dyn. 34(4), 249–259 (2000)
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Antonya, C., Carabulea, L., Pauna, C. (2019). Predictive Actuation of a Driving Simulator. In: Burnete, N., Varga, B. (eds) Proceedings of the 4th International Congress of Automotive and Transport Engineering (AMMA 2018). AMMA2018 2018. Proceedings in Automotive Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-94409-8_16
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DOI: https://doi.org/10.1007/978-3-319-94409-8_16
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