Digital Twin-Empowered Autonomous Driving for E-mobility: Concept, framework, and modeling-Reference-Cited by-同舟云学术

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Digital Twin-Empowered Autonomous Driving for E-mobility: Concept, framework, and modeling

Published:2024-09 Issue:3 Volume:12 Page:68-77
ISSN:2325-5897
Container-title:IEEE Electrification Magazine
language:
Short-container-title:IEEE Electrific. Mag.

Author:

Li Yushuai¹^ORCID,Xu Jiachen²,Li Tianyi³^ORCID,Mocanu Elena⁴,Jensen Christian S.³^ORCID,Gao David Wenzhong⁵^ORCID,Zhang Yan¹^ORCID

Affiliation:

1. Department of Informatics, University of Oslo, Oslo, Norway

2. School of Information Science and Engineering, Northeastern University, Liaoning, China

3. Department of Computer Science, Aalborg University, Aalborg, Denmark

4. Faculty of Electrical Engineering, University of Twente, Enschede, Netherlands

5. School of Engineering and Computer Science, University of Denver, Denver, CO, USA

Funder

European Horizon 2020 Marie Sklodowska-Curie Actions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6508996/10666922/10666933.pdf?arnumber=10666933

Reference6 articles.

1. Digital Twin Networks: A Survey

2. Digital Twin Real-Time FPGA Implementation for Light Electric Vehicle Propulsion System Using EMR Organization

3. Mastering Atari, Go, chess and shogi by planning with a learned model

4. Human-level control through deep reinforcement learning

5. A Discrete Soft Actor-Critic Decision-Making Strategy With Sample Filter for Freeway Autonomous Driving

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