FRNet: DCNN for Real-Time Distracted Driving Detection Toward Embedded Deployment-Reference-Cited by-同舟云学术

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

Published:2023-09 Issue:9 Volume:24 Page:9835-9848
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Duan Cong¹^ORCID,Gong Yipeng¹,Liao Jiacai²^ORCID,Zhang Minghai¹,Cao Libo¹

Affiliation:

1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, P. R. China

2. College of Automotive and Mechanical Engineering, ChangSha University of Science Technology, Changsha, P. R. China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10235283/10120648.pdf?arnumber=10120648

Reference81 articles.

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4. Multiple scale faster-RCNN approach to driver’s cell-phone usage and hands on steering wheel detection;le;Proc IEEE Conf Comput Vis Pattern Recognit Workshops (CVPRW),2016

5. Real‐time detection of distracted driving based on deep learning

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