Objective comparison of motion cueing algorithms for driving simulator

Marco Grottoli, Marco Gubitosa, Stijn Donders, Edward Holweg, Riender Happee

    Research output: Contribution to conferenceAbstractScientific


    Inertial or motion cue plays a significant role for the achievement of an immersive feeling in driving simulators. The control loop is responsible for mimicking as close as possible the real vehicle accelerations as the inertial feedback to the driver, while keeping the motion system within its physical limitations. Several algorithms have been designed for this purpose, seeking for the optimal compromise between realistic accelerations fidelity and actuation dynamics restrictions. Motion cueing algorithms can hence vary depending on the dynamics of the maneuver, computational efficiency required and motion system configuration. Several algorithms can be found in literature, from the classical approach, based on a combination of high and low-pass filters on the vehicle accelerations, to more recent strategies based on Model Predictive Control (MPC). Assessing the success of one solution is a complex task that would involve the prototype implementation on hardware as well as the availability of several test subjects. Nevertheless the result would be a subjective evaluation of the performance. This study proposes instead a preliminary analysis of the performance of motion cueing algorithms with objective evaluation by means of a human motion perception model.
    Original languageEnglish
    Number of pages2
    Publication statusPublished - 2016
    Event4th Joint International Conference on Multibody System Dynamics - Montreal, Canada
    Duration: 29 May 20162 Jun 2016


    Conference4th Joint International Conference on Multibody System Dynamics


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