Development of Visibility Estimation Model on Winter Road Conditions using Image-based Driver's Visibility Index by On-Board Video Camera
Development of Visibility Estimation Model on Winter Road Conditions using Image-based Driver's Visibility Index by On-Board Video Camera
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.):¥1,100 Members (tax incl.):¥880
- Publication code
- 20225234
- Paper/Info type
- Proceedings (Spring)
No.53-22
- Pages
- 1-8(Total 8 p)
- Date of publication
- May 2022
- Publisher
- JSAE
- Language
- English
- Event
- 2022 JSAE Annual Congress (Spring)
Detailed Information
Author(E) | 1) Yuki Nakamura, 2) Toru Hagiwara, 3) Yasuhiro Nagata, 4) Sho Takahashi |
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Affiliation(E) | 1) Hokkaido University, 2) Hokkaido University, 3) Hokkaido Development Engineering Center, 4) Hokkaido University |
Abstract(J) | 車載カメラの走行画像から、前方の視界を評価する手法の開発を行った。その手法を用いて、吹雪が発生した2020年3月の走行画像をもとに前方の視界の変化を評価した。その結果、車載カメラの走行画像は視界が変化しやすい地点を示していた。次に、視界の変化に影響を与える説明変数を選定し、視界情報の予測モデルを提案した。 Translation |
Abstract(E) | We developed the method for visibility estimation using images taken by on-board video camera. By the use of this method, when the snowstorm occurred, we evaluated the change of visibility road ahead based on images taken by on-board camera in March, 2020. As a result, images taken by on-board camera suggested the points where visibility change likely to occurs. In addition, we proposed an estimation model for visibility information using explanatory variables which affect visibility change. |