AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection

Published:2024-08 Issue:8 Volume:25 Page:9659-9674
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Liu Sheng¹^ORCID,You Linlin¹^ORCID,Zhu Rui²^ORCID,Liu Bing³,Liu Rui⁴^ORCID,Yu Han⁴^ORCID,Yuen Chau⁵^ORCID

Affiliation:

1. School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China

2. Institute of High Performance Computing, A*STAR, Fusionopolis, Singapore

3. BYD Auto Company Ltd., Shenzhen, China

4. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

5. School of Electrical and Electronics Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

National Research Foundation Singapore and DSO National Laboratories under the AI Singapore Program

RIE 2020 Advanced Manufacturing and Engineering (AME) Programmatic Fund, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10621861/10423999.pdf?arnumber=10423999

Reference53 articles.

1. Towards Next-Generation Vehicles Featuring the Vehicle Intelligence

2. FRNet: DCNN for Real-Time Distracted Driving Detection Toward Embedded Deployment

3. Evaluating the causal effects of cellphone distraction on crash risk using propensity score methods

4. A Survey on Driver Behavior Analysis From In-Vehicle Cameras

5. Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning

Cited by 2 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. A Self-Supervised Few-Shot Semantic Segmentation Method Based on Multi-Task Learning and Dense Attention Computation;Sensors;2024-07-31

2. FMGCN: Federated Meta Learning-Augmented Graph Convolutional Network for EV Charging Demand Forecasting;IEEE Internet of Things Journal;2024-07-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3