FAIR: Towards Impartial Resource Allocation for Intelligent Vehicles With Automotive Edge Computing-Reference-Cited by-同舟云学术

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FAIR: Towards Impartial Resource Allocation for Intelligent Vehicles With Automotive Edge Computing

Published:2023-02 Issue:2 Volume:8 Page:1971-1982
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Wang Haoxin¹^ORCID,Xie Jiang²^ORCID,Muslam Muhana Magboul Ali³^ORCID

Affiliation:

1. Department of Computer Science, Georgia State University, Atlanta, GA, USA

2. Department of Electrical and Computer Engineering, The University of North Carolina at Charlotte, Charlotte, NC, USA

3. Department of Information Technology, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia

Funder

Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

https://ieeexplore.ieee.org/ielam/7274857/10076483/10008073-aam.pdf

Reference39 articles.

1. Federated Vehicular Transformers and Their Federations: Privacy-Preserving Computing and Cooperation for Autonomous Driving

2. The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections

3. Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections

4. The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany

5. Gaussian Process-Based Personalized Adaptive Cruise Control

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