Towards Sickness-free Automated Driving
Control Algorithms for Motion Sickness Mitigation in Automated Vehicles and Enhanced Immersion in Driving Simulators
V. Jain (TU Delft - Intelligent Vehicles)
R. Happee – Promotor (TU Delft - Intelligent Vehicles)
B. Shyrokau – Copromotor (TU Delft - Intelligent Vehicles)
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Abstract
This thesis examines approaches for motion sickness reduction in automated driving applications. It focuses on motion planning methods designed to limit the motions that contribute to motion-sickness onset, and presents an algorithm that incorporates motion-sickness considerations into trajectory generation. Beyond real-world automated driving scenarios, the thesis also examines driving simulators as a platform for evaluating motion sickness oriented planning strategies. Methods for increasing simulator realism are explored to narrow the gap between simulated and on-road experiences. Mitigating motion sickness within the simulator itself is also examined, aimed at improving both simulator fidelity and the reliability of motion-sickness assessments.