| Presentation | 2017-07-14 Analysis of Driving Skills in Curve Scenes based on Deep Learning using Stacked Autoencoders Takuya Kagawa, Naiwala P. Chandrasiri, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Neural network / Deep learning / Stacked autoencoders / Driving behavior / Driving skill |
| Paper # | ICTSSL2017-24 |
| Date of Issue | 2017-07-06 (ICTSSL) |
| Conference Information | |
| Committee | ICTSSL |
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| Conference Date | 2017/7/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kagawa Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kazunori Okada(NICT) |
| Vice Chair | Hiroshi Tamura(Chuo Univ.) / Keisuke Nakano(Niigata Univ.) |
| Secretary | Hiroshi Tamura(NTT DoCoMo) / Keisuke Nakano(Shizuoka Univ.) |
| Assistant | Shosuke Sato(Tohoku Univ.) / Tomotaka Wada(Kansai Univ.) / Kazuyuki Miyakita(Niigata Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication Technologies for Safe and Secure Life |
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| Language | JPN |
| 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 |
| 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.) |
| Date | 2017-07-14 |
| Paper # | ICTSSL2017-24 |
| Volume (vol) | vol.117 |
| Number (no) | ICTSSL-124 |
| Page | pp.pp.39-43(ICTSSL), |
| #Pages | 5 |
| Date of Issue | 2017-07-06 (ICTSSL) |