{"updated":"2025-01-20T05:57:53.945484+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00176206","sets":["1164:3865:8477:8984"]},"path":["8984"],"owner":"11","recid":"176206","title":["複数センサを用いた自転車違反運転検知システム"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-11-30"},"_buckets":{"deposit":"7eaa02bc-f590-4c3c-a2e2-a9373c204db5"},"_deposit":{"id":"176206","pid":{"type":"depid","value":"176206","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"複数センサを用いた自転車違反運転検知システム","author_link":["370106","370105","370102","370108","370103","370104","370107","370101"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"複数センサを用いた自転車違反運転検知システム"},{"subitem_title":"A detecting system of bicycle traffic violations using multi-sensors","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"MBLセッション3","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2016-11-30","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"公立はこだて未来大学大学院システム情報科学研究科"},{"subitem_text_value":"公立はこだて未来大学システム情報科学部"},{"subitem_text_value":"公立はこだて未来大学システム情報科学部"},{"subitem_text_value":"公立はこだて未来大学システム情報科学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Systems Information Science, Future University Hakodate","subitem_text_language":"en"},{"subitem_text_value":"School of Systems Information Science, Future University Hakodate","subitem_text_language":"en"},{"subitem_text_value":"School of Systems Information Science, Future University Hakodate","subitem_text_language":"en"},{"subitem_text_value":"School of Systems Information Science, Future University Hakodate","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/176206/files/IPSJ-MBL16081023.pdf","label":"IPSJ-MBL16081023.pdf"},"date":[{"dateType":"Available","dateValue":"2018-11-30"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL16081023.pdf","filesize":[{"value":"875.4 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report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8817","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，自転車が関与する事故が問題となっており，平成 27 年中の自転車乗車中の死傷者のうち 65.1 % が法令違反運転中に交通事故に遭っている．自転車の違反運転に関する法律や条例は整備されてきているものの，大きな改善は見られていない．本研究はモーションセンサと照度センサを用いた自転車違反運転検知システムを提案する．モーションセンサ Kinect を用いたスケルトン ・ トラッキングと照度センサであるフォトダイオードによる自転車運転者の状態検出を行い，自転車運転時のモーション比較と深度情報による距離情報の取得，トラッキング時間の測定，自転車走行位置の計測，照度の測定によって違反運転の種類を判断する．また，自転車運転者 ・ 走行者 ・ 歩行者の判別も行う．屋外において提案手法の違反運転判断精度および自転車運転者判別精度の評価実験を行う．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングとパーベイシブシステム（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-11-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"23","bibliographicVolumeNumber":"2016-MBL-81"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:45:53.059030+00:00","id":176206,"links":{}}