Driver Distraction Detection Based on Cloud Computing Architecture and Lightweight Neural Network

Driver Distraction Detection Based on Cloud Computing Architecture and Lightweight Neural Network

Distracted behavior detection is an important task in computer-assisted driving. Although deep learning has made significant progress in this area, it is still difficult to meet the requirements of the real-time analysis and processing of massive data by relying solely on local computing power. To o...

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Bibliographic Details
Main Authors: Xueda Huang, Shaowen Wang, Guanqiu Qi, Zhiqin Zhu, Yuanyuan Li, Linhong Shuai, Bin Wen, Shiyao Chen, Xin Huang
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Mathematics
Subjects:
driving distraction behavior detection
cloud–fog computing architecture
service computing
scalable networks
lightweighting
Online Access:https://www.mdpi.com/2227-7390/11/23/4862

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https://www.mdpi.com/2227-7390/11/23/4862

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