Preliminary Investigation of Predicting the Distance and the Relative Velocirty of the Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety

• Item type: SIG Technical Reports(1)
• 公開日: 2022-05-30
• タイトル: Preliminary Investigation of Predicting the Distance and the Relative Velocirty of the Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety
• タイトル / 言語: en
• タイトル: Preliminary Investigation of Predicting the Distance and the Relative Velocirty of the Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: ポスターセッション
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者名: Thilina, Dissanayake; 前川, 卓也; 原, 隆浩
• 著者名(英): Thilina, Dissanayake
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The number of accidents due to the pedestrians walking on the sidewalk while viewing their smartphones has been increasing in recent years. To prevent such accidents, obstacle detection systems that employ sensor data from smartphones have been developed. The most common method is to employ the video stream from the back camera of the smartphone to recognize the oncoming obstacles. However, this method imposes problems such as poor recognition accuracy during nighttime as well as complications in sensing range due to the holding orientation of the smartphone. To address these issues, methods based on acoustic ranging have been extensively researched in the ubiquitous computing research community. However, the previous studies concentrate on detecting the distance to the oncoming obstacles and often overlook the most important attribute, their velocity relative to the user. In this study, we propose a method to predict both the distance from the user to the obstacle as well as its relative velocity.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The number of accidents due to the pedestrians walking on the sidewalk while viewing their smartphones has been increasing in recent years. To prevent such accidents, obstacle detection systems that employ sensor data from smartphones have been developed. The most common method is to employ the video stream from the back camera of the smartphone to recognize the oncoming obstacles. However, this method imposes problems such as poor recognition accuracy during nighttime as well as complications in sensing range due to the holding orientation of the smartphone. To address these issues, methods based on acoustic ranging have been extensively researched in the ubiquitous computing research community. However, the previous studies concentrate on detecting the distance to the oncoming obstacles and often overlook the most important attribute, their velocity relative to the user. In this study, we propose a method to predict both the distance from the user to the obstacle as well as its relative velocity.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11838947
• 書誌情報: 研究報告ユビキタスコンピューティングシステム（UBI）; 巻 2022-UBI-74, 号 7, p. 1-6, 発行日 2022-05-30
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8698
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会