Risk Prediction in Blind Spots through Traffic Mirrors using On-Vehicle Camera while Driving
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- ONO Shintaro
- 東京大学 生産技術研究所 福岡大学 工学部
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- HINO Yusuke
- 東京大学 大学院工学系研究科
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- SUDA Yoshihiro
- 東京大学 生産技術研究所
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- ITAGAKI Noriaki
- コンチネンタル・オートモーティブ株式会社
Bibliographic Information
- Other Title
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- 走行中の車載カメラとカーブミラーによる死角の危険予知
- ソウコウ チュウ ノ シャサイ カメラ ト カーブミラー ニ ヨル シカク ノ キケン ヨチ
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Abstract
<p>In order to ensure safe driving at unsignalized intersections with poor visibility for automated driving and driving assistance, we use on-board camera images to understand traffic conditions in a blind spot beyond the traffic mirror, and predict risk. The system uses deep learning to detect/track the position of the traffic mirror and the position of on-road objects including vehicles reflected in the mirror. Then, whether the blind spot is risky or not is determined by the approach of the on-road object. As a result of experiment in a real environment, it was confirmed that the accuracy of the approach discrimination reached 75-92% under the environment where the viewpoint conversion worked stably.</p>
Journal
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- SEISAN KENKYU
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SEISAN KENKYU 74 (1), 123-128, 2022-02-01
Institute of Industrial Science The University of Tokyo
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Details 詳細情報について
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- CRID
- 1390572664484425728
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- NII Article ID
- 130008163568
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- NII Book ID
- AN00127075
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- ISSN
- 18812058
- 0037105X
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- NDL BIB ID
- 032027755
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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