Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving

Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving

Cyber-physical systems (CPSs) in autonomous vehicles must handle highly dynamic and uncertain settings, where unanticipated impediments, shifting traffic conditions, and environmental changes all provide substantial decision-making issues. Deep reinforcement learning (DRL) has emerged as a strong to...

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Bibliographic Details
Main Authors: Manal Abdullah Alohali, Hamed Alqahtani, Abdulbasit Darem, Monir Abdullah, Yunyoung Nam, Mohamed Abouhawwash
Format: Article
Language:English
Published: PeerJ Inc. 2025-06-01
Series:PeerJ Computer Science
Subjects:
Autonomous vehicles
Cyber-physical systems
Reinforcement learning
Deep Q networks
Embedded technology
Online Access:https://peerj.com/articles/cs-2823.pdf
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