An Advanced Deep Framework for Recognition of Distracted Driving Behaviors

被引：0

作者：

Pang, Yu-Ting ^{[1
]}

Syu, Sin-Wun ^{[1
]}

Huang, Yi-Chi ^{[1
,2
]}

Chen, Bo-Hao ^{[1
]}

机构：

[1] Yuan Ze Univ, Dept Comp Sci & Engn, Taoyuan 320, Taiwan

[2] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China

来源：

2018 IEEE 7TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE 2018) | 2018年

关键词：

driving behaviors; deep learning; image recognition;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper introduces a trainable deep framework called DedistractedNet for recognizing the distracted driving behaviors from an image. In contrast to other conventional strategies that use physiological sensors or on-board diagnostics, the DedistractedNet directly profiles the features of driving behaviors in the image based on the deep convolutional neural networks. Experiment results manifest that the DedistractedNet achieves superior accuracy than those of other baseline CNN methods.

引用

页码：802 / 803

页数：2

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