Hybrid Supervised and Reinforcement Learning for Motion-Sickness-Aware Path Tracking in Autonomous Vehicles

Hybrid Supervised and Reinforcement Learning for Motion-Sickness-Aware Path Tracking in Autonomous Vehicles

Path tracking is an essential task for autonomous driving (AD), for which controllers are designed to issue commands so that vehicles will follow the path of upper-level decision planning properly to ensure operational safety, comfort, and efficiency. Current path-tracking methods still face challen...

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Bibliographic Details
Main Authors: Yukang Lv, Yi Chen, Ziguo Chen, Yuze Fan, Yongchao Tao, Rui Zhao, Fei Gao
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
autonomous vehicles
path tracking
motion sickness
supervised learning
reinforcement learning
Online Access:https://www.mdpi.com/1424-8220/25/12/3695
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