Effect of Neural Network Driver Predictions on the Expected Quality of a Model Predictive Control Algorithm for Driving Simulators

Hybrid MPC based Motion Cueing Algorithm for Driving Simulators

Driving simulators have been used in the automotive industry for many years now. They have been vastly employed for conducting tests in a safe, reproducible and controlled immersive virtual environment. The ability of the simulator to recreate the in-vehicle experience for the occupant is established through motion cueing algorithms. Such...

MPC-based motion cueing algorithm for a 6 DOF driving simulator with actuator constraints

Driving simulators are widely used for understanding Human-Machine Interaction, driver behavior and driver training. The effectiveness of such simulators in this process depends largely on their ability to generate realistic motion cues. Though the conventional filter-based motion cueing strategies have provided reasonable results, these methods...