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アイテム
DETECTION OF DRIVER’S VISUAL DISTRACTION USING DUAL CAMERAS
https://tokushima-u.repo.nii.ac.jp/records/2010842
https://tokushima-u.repo.nii.ac.jp/records/20108429a5acb25-76f2-4381-9cad-5e745d7eb1cc
| 名前 / ファイル | ライセンス | アクション |
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ijicic_18_5_1445.pdf (6.79 MB)
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| Item type | 文献 / Documents(1) | |||||||||||||||||||||
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| 公開日 | 2023-03-15 | |||||||||||||||||||||
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| アクセス権 | open access | |||||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||||
| 出版社版DOI | ||||||||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||||||
| 関連識別子 | https://doi.org/10.24507/ijicic.18.05.1445 | |||||||||||||||||||||
| 言語 | ja | |||||||||||||||||||||
| 関連名称 | 10.24507/ijicic.18.05.1445 | |||||||||||||||||||||
| 出版タイプ | ||||||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||||||
| タイトル | ||||||||||||||||||||||
| タイトル | DETECTION OF DRIVER’S VISUAL DISTRACTION USING DUAL CAMERAS | |||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||
| 著者 |
Sonom-Ochir, Ulziibayar
× Sonom-Ochir, Ulziibayar
× カルンガル, スティフィン ギディンシ
WEKO
1240
× 寺田, 賢治
WEKO
106
× Ayush, Altangerel
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| 抄録 | ||||||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||||||
| 内容記述 | Most serious accidents are caused by the driver’s visual distraction. Therefore, early detection of a driver’s visual distraction is very important. The detection system mostly used is the dashboard camera because it is cheap and convenient. However, some studies have focused on various methods using additional equipment such as vehicle-mounted devices, wearable devices, and specific cameras that are common. However, these proposals are expensive. Therefore, the main goal of our research is to create a low-cost, non-intrusive, and lightweight driver’s visual distraction detection (DVDD) system using only a simple dual dashboard camera. Currently, most research has focused only on tracking and estimating the driver’s gaze. In our study, additionally, we also aim to monitor the road environment and then evaluate the driver’s visual distraction detection based on the two pieces of information. The proposed system has two main modules: 1) gaze mapping and 2) moving object detection. The gaze mapping module receives video captured through a camera placed in front of the driver, and then predicts a driver’s gaze direction to one of predefined 16 gaze regions. Concurrently, the moving object detection module identifies the moving objects from the front view and determines in which part of the predefined 16 gaze regions it appears. By combining and evaluating the two modules, the state of the distraction of the driver can be estimated. If the two module outputs are different gaze regions or non-neighbor gaze regions, the system considers that the driver is visually distracted and issues a warning. We conducted experiments based on our self-built real-driving DriverGazeMapping dataset. In the gaze mapping module, we compared the two methods MobileNet and OpenFace with the SVM classifier. The two methods outperformed the baseline gaze mapping module. Moreover, in the OpenFace with SVM classifier method, we investigated which features extracted by OpenFace affected the performance of the gaze mapping module. Of these, the most effective feature was the combination of a gaze angle and head position_R features. The OpenFace with SVM method using gaze angle and head position_R features achieved a 6.25% higher accuracy than the method using MobileNet. Besides, the moving object detection module using the Lukas-Kanade dense method was faster and more reliable than in the previous study in our experiments. | |||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||
| キーワード | ||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||
| 主題 | Visual distraction | |||||||||||||||||||||
| キーワード | ||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||
| 主題 | Gaze mapping | |||||||||||||||||||||
| キーワード | ||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||
| 主題 | Moving object | |||||||||||||||||||||
| キーワード | ||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||
| 主題 | Gaze region | |||||||||||||||||||||
| 書誌情報 |
en : International Journal of Innovative Computing, Information and Control 巻 18, 号 5, p. 1445-1461, 発行日 2022-10 |
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| 収録物識別子タイプ | ISSN | |||||||||||||||||||||
| 収録物識別子 | 13494198 | |||||||||||||||||||||
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| 収録物識別子タイプ | NCID | |||||||||||||||||||||
| 収録物識別子 | AA12218449 | |||||||||||||||||||||
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| 出版者 | ICIC International | |||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||
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| 識別子 | 387292 | |||||||||||||||||||||
| 識別子タイプ | URI | |||||||||||||||||||||
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| 言語 | eng | |||||||||||||||||||||
