{"id":209782,"created":"2025-01-19T01:11:04.183860+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00209782","sets":["1164:3980:10496:10497"]},"path":["10497"],"owner":"44499","recid":"209782","title":["カメラから抽出した車両特徴量に対する選択的利用方式の評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-02-25"},"_buckets":{"deposit":"84ce0ac6-9e27-4648-a33a-084ba2d98a35"},"_deposit":{"id":"209782","pid":{"type":"depid","value":"209782","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"カメラから抽出した車両特徴量に対する選択的利用方式の評価","author_link":["529789","529788","529787"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"カメラから抽出した車両特徴量に対する選択的利用方式の評価"},{"subitem_title":"An Evaluation of the Selection Method for Vehicle Characteristics Obtained from Cameras","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般講演セッション(1)","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-02-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋大学大学院情報学研究科"},{"subitem_text_value":"名古屋大学未来社会創造機構"},{"subitem_text_value":"名古屋大学大学院情報学研究科／名古屋大学未来社会創造機構"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Institutes of Innovation for Future Society, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Informatics, Nagoya University / Institutes of Innovation for Future Society, Nagoya University","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/209782/files/IPSJ-ITS21084001.pdf","label":"IPSJ-ITS21084001.pdf"},"date":[{"dateType":"Available","dateValue":"2023-02-25"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ITS21084001.pdf","filesize":[{"value":"4.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"37"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"f005c095-7c86-44d4-901a-1942b3350a4d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大鐘, 崇史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 陽介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高田, 広章"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11515904","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8965","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"詳細な地図の上に標識や信号情報，車両や歩行者の動的情報を載せたダイナミックマップが提案されており，その活用場面の一つとして，自動運転車と人運転車が混在する状況が挙げられている．人間のドライバーが運転中であってもダイナミックマップからの情報を有効に活用するために，道路上にあるカメラから得られる視覚的な情報を元にして，ドライバーに的確に伝わる言語情報に変換した上で音声案内をするシステムを構築した．提案システムでは，複数の車両が認識され，それらが同じ色や特徴をもつ車両の場合，それ以外の特徴を最小限の言語情報で伝える必要がある．そこで，カメラから得られる画像データの車両特徴量の画像認識を行い，ドライバーがどの車両かを特定でき，なおかつ指示を伝えるための必要十分な車両特徴量を選択するアルゴリズムを開発した．そして，実車両に対して画像認識を行い，人運転車両に対して適切な言語情報で音声案内を行う実験と評価を行った．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告高度交通システムとスマートコミュニティ（ITS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-02-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021-ITS-84"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T18:23:32.918051+00:00","links":{}}