Driver state estimation by convolutional neural network using multimodal sensor data-Reference-Cited by-同舟云学术

Driver state estimation by convolutional neural network using multimodal sensor data

Published:2016-08 Issue:17 Volume:52 Page:1495-1497
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Lim Sejoon¹,Yang Ji Hyun¹

Affiliation:

1. College of Automotive EngineeringKookmin UniversitySeoulKorea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2016.1393

Reference6 articles.

1. Singh S.: ‘Critical reasons for crashes investigated in the National Motor Vehicle Crash Causation Survey’. Traffic safety facts crash stats Report No. DOT HS 812 115 National Highway Traffic Safety Administration Washington DC February2015

2. ImageNet classification with deep convolutional neural networks;Krizhevsky A.;Adv. Neural Inf. Process. Syst.,2012

3. Deep Multimodal Fusion

4. Improvement of driver- state estimation algorithm using multi-modal information

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