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Andras Kemeny

Researcher at Renault

Publications -  114
Citations -  2460

Andras Kemeny is an academic researcher from Renault. The author has contributed to research in topics: Driving simulator & Virtual reality. The author has an hindex of 21, co-authored 114 publications receiving 2183 citations. Previous affiliations of Andras Kemeny include Centre national de la recherche scientifique & Arts et Métiers ParisTech.

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Proceedings ArticleDOI

How to avoid simulation sickness in virtual environments during user displacement

TL;DR: Results indicate that low speed displacements with longitudinal and lateral accelerations under a given perception thresholds are well accepted by a large number of users and relatively high values are only accepted by experienced users and induce VR induced symptoms and effects (VRISE) for novice users, with a worst case scenario corresponding to rotational displacements.

A LQR washout algorithm for a driving simulator equipped with a hexapod platform : the relationship of neuromuscular dynamics with the sensed illness rating

TL;DR: A method and an experimental validation to analyze dynamics response of the drivers with respect to the type of the control used in the hexapod driving simulator showed that the EMG average RMS total power decreases while the IR increases during the LQR motion cueing algorithm.

Solving the Constrained Problem in Model Predictive Control Based Motion Cueing Algorithm with a Neural Network Approach

TL;DR: A continuous-time recurrent neural network-based gradient method is applied to compute the optimal control action in real time for an MPCbased MCA and shows that by implementing a saturation function for the constraints in the decision variables and a regulation for the energy function in the network, a constrained optimization problem can be solved without using any penalty function.
Journal ArticleDOI

Motion cueing algorithm for high performance driving simulator using yaw table

TL;DR: A multi-axes coupled 4DOF optimization algorithm is proposed which completes the lack of efficient motion cueing algorithm for X-Y based driving simulator using yaw table.

Evaluating the shift of control between driver and vehicle at high automation at low speed: the role of anticipation

TL;DR: The results indica te that anticipation of disengagement of the traffic jam as sist might facilitate drivers’ regain of control fr om the vehicle, although the effect was not statistically significa nt.