Motion Sickness Mitigating Algorithms and Control Strategy for Autonomous Vehicles
Author:
Affiliation:
1. School of Engineering, Royal Melbourne Institute of Technology, RMIT University, Melbourne, VIC, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10026638/09931461.pdf?arnumber=9931461
Reference52 articles.
1. Postural instability induced by virtual reality exposure: Development of a certification protocol
2. Analysis for Comfortable Handling and Motion Sickness Minimization in Autonomous Vehicles Using Ergonomic Path Planning with Cost Function Evaluation
3. Motion sickness symptoms in a ship motion simulator: Effects of inside, outside, and no view;bos;Aviation Space Environ Med,2005
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1. A review of carsickness mitigation: Navigating challenges and exploiting opportunities in the era of intelligent vehicles;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-08-28
2. MPC-based eco motion planning for mitigating motion sickness in autonomous vehicles*;2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI);2023-10-27
3. A Novel Lane-Change Decision-Making With Long-Time Trajectory Prediction for Autonomous Vehicle;IEEE Access;2023
4. Experimental Verification of the Ultimate Motion Sickness Algorithm & the Motion Sickness Hybrid Control Strategy Via An Autonomous RC-car;2022 4th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE);2022-11-26
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