Reference Driving Scenarios to Support Research on Motion Sickness Mitigation
Hess, Manuel 1; Seiffer, Alexander 2,3; Bohn, Christopher 1; Hohmann, Sören 1 1 Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT) 2 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT) 3 Schaeffler Hub for Advanced Research am KIT (SHARE), Karlsruher Institut für Technologie (KIT)
Abstract:
This dataset provides a collection of driving scenarios designed to support research on motion sickness in automated vehicles. It includes reference paths covering both purpose-designed circuits and real-world roads that exhibit characteristic frequency content in the acceleration relevant to motion sickness. In addition, a dynamically feasible sample trajectory for a single-track vehicle model is provided. The dataset enables reproducible simulation studies and controlled test-track experiments for evaluation of motion-planning algorithms targeting motion-sickness mitigation.