IEEE Transactions on Intelligent Transportation Systems · 2024 · 13 citations · 108 references
EngineeringAutomotive EngineeringAutonomous SystemsAutonomous VehiclesErgonomicsVehicle Safety EngineeringMotion SicknessMotion Sickness MitigationRide ComfortRide DynamicsVehicle ControlComfortComfort OptimizationMitigationMotion ComfortMotion Sickness AssessmentMotion Sickness ReductionPassenger Comfort
Autonomous vehicles (AVs) bring advantages such as comfort, safety, and eco-friendliness compared to conventional ones. The focus on comfort has become increasingly important as it plays a key role in the widespread acceptance of AVs. Passenger demand for alleviating motion sickness (MS) during travel has also driven extensive research in this area. This manuscript conducts a comprehensive and comparative review of published articles to provide up-to-date research outcomes on MS mitigation. It also examines the optimization methods employed over the past two decades to enhance motion comfort in AVs. The methods for detecting and resolving MS are elaborated upon, and the research gap and challenges are addressed. Furthermore, the manuscript presents the current efficacy of the research and proposes an anti-motion sickness control framework that utilizes a cloud control platform, which might offer potential future research directions in the field of autonomous driving. This study serves as a valuable reference for future efforts and opportunities to improve the motion comfort of AVs.
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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla et al. · 2020 · 3K citations
Motion Sickness Adaptation: A Neural Mismatch Model
James Reason · Journal of the Royal Society of Medicine · 1978 · 920 citations · Full text