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- Nakamura Shunsuke
- トヨタ自動車株式会社先進車両技術開発部
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- Komada Masashi
- トヨタ自動車株式会社先進車両技術開発部
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- Matsushita Kojiro
- 岐阜大学
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- Matsumura Yuichi
- 岐阜大学
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- Ishizaki Keisuke
- トヨタ自動車株式会社先進車両技術開発部
Bibliographic Information
- Other Title
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- 深層学習による路面画像を用いた路面入力騒音の予測
- シンソウ ガクシュウ ニ ヨル ロメン ガゾウ オ モチイタ ロメン ニュウリョク ソウオン ノ ヨソク
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Abstract
The purpose of this research is to predict both the frequency and peak level of road induced noise from the signals of monocular camera adopted for automatic driving without newly adding sensors for utilizing the prediction result as a reference signal to reduce road induced noise by ANC. Using the monocular camera, both the frequency and peak level of road induced noise is predicted by machine learning from the road surface features which are extracted from road surface images by three image recognition techniques (HOG, CNN, autoencoder).
Journal
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- Transactions of Society of Automotive Engineers of Japan
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Transactions of Society of Automotive Engineers of Japan 50 (5), 1421-1426, 2019
Society of Automotive Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390564227307682688
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- NII Article ID
- 130007711621
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- NII Book ID
- AN00105913
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- ISSN
- 24339652
- 18830811
- 02878321
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- NDL BIB ID
- 030058790
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed