A Review of Vehicle Dynamics and Control Approaches for Mitigating Motion Sickness in Autonomous Vehicles
This study highlights the challenge of motion sickness (MS) in autonomous vehicles (AVs), providing a comprehensive review of assessing, predicting, and preventing this issue with a special focus on vehicle dynamics and control-based approaches. Unlike previous studies, this review bridges the gap b...
Saved in:
Main Authors: | Ilhan Yunus, Georgios Papaioannou, Jenny Jerrelind, Lars Drugge |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11095669/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Supervised and Reinforcement Learning for Motion-Sickness-Aware Path Tracking in Autonomous Vehicles
by: Yukang Lv, et al.
Published: (2025-06-01) -
Path Tracking of Autonomous Vehicle Based on Optimal Control
by: Bingshuai Wu, et al.
Published: (2025-06-01) -
Control strategies for autonomous vehicle path tracking: A comparative study of PID, Pure-Pursuit, and Stanley methods
by: Bousskoul Aala Eddine, et al.
Published: (2025-01-01) -
Transformer-Based Vehicle-Trajectory Prediction at Urban Low-Speed T-Intersection
by: Jae Kwan Lee
Published: (2025-07-01) -
Deep Reinforcement Learning-Based Active Disturbance Rejection Control for Trajectory Tracking of Autonomous Ground Electric Vehicles
by: Xianjian Jin, et al.
Published: (2025-06-01)