| Presentation | 2020-10-20 System operation for estimation of road condition using tire vibration data Satoru Kawamata, Tomoko Matsui, Mitsuhiro Nishida, Takeshi Masago, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In a system that estimates the road surface condition from tire sensor data and supports safe driving, it is crucial to deal with three problems, (1) robust, high-speed and lightweight calculation of feature quantities from tire sensor data, (2) data selection, and (3) continuous update of the road surface condition classifier to respond to changes in tires over time. In this paper, we apply a feature extraction method that is robust against changes in speed and road surface unevenness, a data selection method by kernel herding, and a semi-supervised learning method. In the experiments with two types of road surface conditions, dry and wet, the effectiveness of these methods is examined. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Intelligent tire / road surface condition / kernel herding / semi-supervised learning |
| Paper # | IBISML2020-10 |
| Date of Issue | 2020-10-13 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2020/10/20(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Organized Sessions on Frontiers of Machine Learning and General Sessions |
| Chair | Ichiro Takeuchi(Nagoya Inst. of Tech.) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Masashi Sugiyama(AIST) / Koji Tsuda(NTT) |
| Assistant | Atsuyoshi Nakamura(Hokkaido Univ.) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | System operation for estimation of road condition using tire vibration data |
| Sub Title (in English) | |
| Keyword(1) | Intelligent tire |
| Keyword(2) | road surface condition |
| Keyword(3) | kernel herding |
| Keyword(4) | semi-supervised learning |
| 1st Author's Name | Satoru Kawamata |
| 1st Author's Affiliation | Bridgestone(Bridgestone) |
| 2nd Author's Name | Tomoko Matsui |
| 2nd Author's Affiliation | Institute of Statistical Mathematics(ISM) |
| 3rd Author's Name | Mitsuhiro Nishida |
| 3rd Author's Affiliation | Bridgestone(Bridgestone) |
| 4th Author's Name | Takeshi Masago |
| 4th Author's Affiliation | Bridgestone(Bridgestone) |
| Date | 2020-10-20 |
| Paper # | IBISML2020-10 |
| Volume (vol) | vol.120 |
| Number (no) | IBISML-195 |
| Page | pp.pp.14-19(IBISML), |
| #Pages | 6 |
| Date of Issue | 2020-10-13 (IBISML) |