| Presentation | 2019-03-05 Unified Driving Skill Analysis of Curves with Different Radii and Interior Angles of Automobiles based on Deep Learning 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 self 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 self 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 previous research, driver's driving skills were analyzed at single curve at a time. In this research, we propose a method to classify driving skills of an individual driver with high precision using unified mechanism, regardless of shape of the curve on the road, based on deep learning (stacked autoencoders). In the experiment, the driving data obtained from the six curve points with different radii and interior angles on the driving simulator was used. Signal processing was added to the sensor signal data, and driving skills of the driver were classified using the stacked autoencoders. As a result, a maximum driving skill recognition rate of 92.5% was achieved. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural network / Deep learning / Stacked autoencoders / Driving behavior / Driving skill |
| Paper # | IN2018-151 |
| Date of Issue | 2019-02-25 (IN) |
| Conference Information | |
| Committee | IN / NS |
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| Conference Date | 2019/3/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Takuji Kishida(NTT-AT) / Yoshikatsu Okazaki(NTT) |
| Vice Chair | Kenji Ishida(Hiroshima City Univ.) / Akihiro Nakao(Univ. of Tokyo) |
| Secretary | Kenji Ishida(KDDI Research) / Akihiro Nakao(KDDI Research) |
| Assistant | / Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Unified Driving Skill Analysis of Curves with Different Radii and Interior Angles of Automobiles based on Deep Learning |
| 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 | 2019-03-05 |
| Paper # | IN2018-151 |
| Volume (vol) | vol.118 |
| Number (no) | IN-466 |
| Page | pp.pp.403-408(IN), |
| #Pages | 6 |
| Date of Issue | 2019-02-25 (IN) |