Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles-Reference-Cited by-同舟云学术

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

Published:2022-09 Issue:3 Volume:7 Page:417-440
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Hu Zhongxu¹^ORCID,Lou Shanhe¹,Xing Yang²^ORCID,Wang Xiao³^ORCID,Cao Dongpu⁴^ORCID,Lv Chen¹^ORCID

Affiliation:

1. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

2. Centre for Autonomous and Cyber-Physical Systems, Cranfield University, Cranfield, U.K.

3. Qingdao Academy of Intelligent Industries and the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

4. School of Vehicle and Mobility, Tsinghua University, Beijing, China

Funder

Nanyang Technological University

A*STAR AME Young Individual Research

Alibaba Group

Alibaba Innovative Research Program

Alibaba.Nanyang Technological University Joint Research Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/9927386/09847095.pdf?arnumber=9847095

Cited by 87 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mirror the mind of crew: Maritime risk analysis with explicit cognitive processes in a human digital twin;Advanced Engineering Informatics;2024-10

2. Wait or Pass? Promoting intersection’s cooperation via identifying vehicle’s social behavior;Accident Analysis & Prevention;2024-10

3. A multi-level digital twin construction method of assembly line based on hybrid worker digital twin models;Advanced Engineering Informatics;2024-10

4. Digital Twin of Space Environment: Development, Challenges, Applications, and Future Outlook;Remote Sensing;2024-08-18

5. Intelligent path planning for civil infrastructure inspection with multi-rotor aerial vehicles;Construction Robotics;2024-08-13