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Paper Abstract and Keywords
Presentation 2017-07-14 10:00
Analysis of Driving Skills in Curve Scenes based on Deep Learning using Stacked Autoencoders
Takuya Kagawa, Naiwala P. Chandrasiri (Kogakuin Univ.) ICTSSL2017-24
Abstract (in Japanese) (See Japanese page) 
(in English) With the advancement of automobile technology and consumer motivation to buy automobiles, it is expected that automatic driving vehicles and manual driving vehicles will coexist in future automobile society. There are a number of people who are interested in driving and, they may think that the automatic driving vehicles are unnecessary. However, if the vehicle is operated manually, there is a possibility for driving skills of a driver to fluctuate due to drowsiness and fatigue and that may lead to accidents. In such a situation, it is important for a vehicle to monitor the driver's driving conditions and provide with a driving support system or automatic driving options. In this research, we propose a method to classify driving skills of an individual driver with high precision based on deep learning (stacked autoencoders). In the experiments, driver’s driving skills were classified by combining sensor signals of curve driving data acquired from a driving simulator. As a result, a maximum driving skill recognition rate of 98.1% was achieved. In addition, the recognition rate was improved compared to the previous researches.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural network / Deep learning / Stacked autoencoders / Driving behavior / Driving skill / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 124, ICTSSL2017-24, pp. 39-43, July 2017.
Paper # ICTSSL2017-24 
Date of Issue 2017-07-06 (ICTSSL) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee ICTSSL  
Conference Date 2017-07-13 - 2017-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagawa Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICTSSL 
Conference Code 2017-07-ICTSSL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Driving Skills in Curve Scenes based on Deep Learning using Stacked Autoencoders 
Sub Title (in English)  
Keyword(1) Neural network  
Keyword(2) Deep learning  
Keyword(3) Stacked autoencoders  
Keyword(4) Driving behavior  
Keyword(5) Driving skill  
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1st Author's Name Takuya Kagawa  
1st Author's Affiliation Kogakuin University (Kogakuin Univ.)
2nd Author's Name Naiwala P. Chandrasiri  
2nd Author's Affiliation Kogakuin University (Kogakuin Univ.)
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Speaker Author-1 
Date Time 2017-07-14 10:00:00 
Presentation Time 25 minutes 
Registration for ICTSSL 
Paper # ICTSSL2017-24 
Volume (vol) vol.117 
Number (no) no.124 
Page pp.39-43 
#Pages
Date of Issue 2017-07-06 (ICTSSL) 


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