Convolutional Neural Network
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2022 ◽  
Vol 13 (1) ◽  
pp. 1-12
Author(s):  
Mu-Yen Chen ◽  
Min-Hsuan Fan ◽  
Li-Xiang Huang

In recent years, vehicular networks have become increasingly large, heterogeneous, and dynamic, making it difficult to meet strict requirements of ultralow latency, high reliability, high security, and massive connections for next generation (6G) networks. Recently, deep learning (DL ) has emerged as a powerful artificial intelligence (AI ) technique to optimize the efficiency and adaptability of vehicle and wireless communication. However, rapidly increasing absolute numbers of vehicles on the roads are leading to increased automobile accidents, many of which are attributable to drivers interacting with their mobile phones. To address potentially dangerous driver behavior, this study applies deep learning approaches to image recognition to develop an AI-based detection system that can detect potentially dangerous driving behavior. Multiple convolutional neural network (CNN )-based techniques including VGG16, VGG19, Densenet, and Openpose were compared in terms of their ability to detect and identify problematic driving.


Author(s):  
Wei Li ◽  
Ju Huyan ◽  
Rong Gao ◽  
Xueli Hao ◽  
Yuanjiao Hu ◽  
...  

Author(s):  
Yu Chen ◽  
Lin Li ◽  
Michael Whiting ◽  
Fang Chen ◽  
Zhongchang Sun ◽  
...  

2022 ◽  
Vol 133 ◽  
pp. 103996
Author(s):  
Bilawal Mahmood ◽  
SangUk Han ◽  
Jongwon Seo

2021 ◽  
Vol 174 ◽  
pp. 107251
Author(s):  
Zhiping Wen ◽  
Changkui Zhou ◽  
Jinhe Pan ◽  
Tiancheng Nie ◽  
Changchun Zhou ◽  
...  

2021 ◽  
Vol 96 ◽  
pp. 107461
Author(s):  
Xi Wang ◽  
Wei Zhang

2021 ◽  
Vol 96 ◽  
pp. 107480
Author(s):  
Haidar Samet ◽  
Saeedeh Ketabipour ◽  
Shahabodin Afrasiabi ◽  
Mousa Afrasiabi ◽  
Mohammad Mohammadi

2022 ◽  
Vol 70 (3) ◽  
pp. 5059-5071
Author(s):  
Hyun Kyu Shin ◽  
Ha Young Kim ◽  
Sang Hyo Lee

2022 ◽  
Vol 70 (3) ◽  
pp. 4563-4581
Author(s):  
Sagheer Abbas ◽  
Yousef Alhwaiti ◽  
Areej Fatima ◽  
Muhammad A. Khan ◽  
Muhammad Adnan Khan ◽  
...  

2022 ◽  
Vol 70 (3) ◽  
pp. 5907-5927
Author(s):  
Naglaa. F. Soliman ◽  
Samia M. Abd-Alhalem ◽  
Walid El-Shafai ◽  
Salah Eldin S. E. Abdulrahman ◽  
N. Ismaiel ◽  
...  

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