期刊论文

Liu, Hongli(hongliliu@hnu.edu.cn)

英文

Future Generation Computer Systems

0167-739X

2022

132

152-161

10.1016/j.future.2022.02.007

This work was supported in part by the National Nature Science Foundation of China under Grant Nos. 61971182 and 62173133 , in part by the Natural Science Foundation of Hunan province, China under Grant Nos. 2020JJ4213 , 2021JJ30145 and 2021JJ30082 , in part by Changsha City Science and Technology Department Funds, China under Grant Nos. 2020CSKJ2020-12 and KQ2004007 .

本校为其他机构

Driver behavior recognition is crucial for traffic safety in intelligent transportation systems. To understand the driver distraction behavior, deep learning methods has been used to learn the hierarchical features of receptive field images. However, most of existing studies focus on investing in spatial components based on the convolutional neural network for visual analysis. In this study, an attention-based deep neural network (ADNet) method is proposed for driver behavior recognition. The ADNet framework is first presented, which integrates...