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Integrated model-based control with human perception models in driving simulation

Abstract : Within the framework of driving simulation, con-trol is a key issue to providing the driver realistic motion cues. Visual stimulus (virtual reality scene) and inertial stimulus (platform motion) induce a self-motion illusion. The chal-lenge is to provide the driver with the sensations he would feel in real car maneuvering. This is a novel control prob-lem. The first goal is not classical path tracking but fooling driver awareness. Constrained workspace is the second issue classically addressed by motion cueing algorithms. This pa-per investigates the contribution of model-based control com-bined with human perception models through a non-linear programming scheme.
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Submitted on : Tuesday, May 24, 2016 - 2:39:04 PM
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  • HAL Id : hal-01320812, version 1


Hatem Elloumi, Marc Bordier, Nadia Maïzi. Integrated model-based control with human perception models in driving simulation. Proceedings of IMACS International conference on Scientific Computation, Applied Mathematics and Simulation , 2005, Paris France. ⟨hal-01320812⟩



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