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