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 and 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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ICTSSL2017-24 |
Conference Information |
Committee |
ICTSSL |
Conference Date |
2017-07-13 - 2017-07-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kagawa Univ. |
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(See Japanese page) |
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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 |
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Neural network |
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Deep learning |
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Stacked autoencoders |
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Driving behavior |
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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 |
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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 |
5 |
Date of Issue |
2017-07-06 (ICTSSL) |
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