{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230396","sets":["6504:11436:11441"]},"path":["11441"],"owner":"44499","recid":"230396","title":["車載カメラ画像からカーブミラーを検出する深層学習モデルの性能比較"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"34dcb030-9c0e-4303-8507-cfd5ea409738"},"_deposit":{"id":"230396","pid":{"type":"depid","value":"230396","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"車載カメラ画像からカーブミラーを検出する深層学習モデルの性能比較","author_link":["620678","620677","620676","620675","620679"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"車載カメラ画像からカーブミラーを検出する深層学習モデルの性能比較"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"福岡大"},{"subitem_text_value":"京産大"},{"subitem_text_value":"福岡大"},{"subitem_text_value":"京産大"},{"subitem_text_value":"福岡大"}]},"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/230396/files/IPSJ-Z85-7ZA-03.pdf","label":"IPSJ-Z85-7ZA-03.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-7ZA-03.pdf","filesize":[{"value":"595.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"9f09fe9f-c112-401e-bc64-d915dfe87838","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"宮柱, 太一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"羽倉, 輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"栗, 達"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"河合, 由起子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小野, 晋太郎"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では、見通しの悪い交差点等での事故を防止するため、新規の設備や路車間通信に頼ることなく、車載カメラ等で撮影したカーブミラーの反射映像を解析することで危険を予知することを目指している。本稿では、Faster R-CNN、SSD、YOLOv4 の3種類の深層学習モデルと各2種類の最適化アルゴリズムを用いて路上のカーブミラーを検出するための訓練・推定を行い、その性能を比較するとともに、その結果を用いてカーブミラーの配置マップを自動的に生成する。学習・検証には、福岡県内各地の路上で撮影したカーブミラーを含んだ路上の画像（合計771枚）を用いて3分割交差検証を行った。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"260","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"259","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230396,"updated":"2025-01-19T11:09:53.289176+00:00","links":{},"created":"2025-01-19T01:30:08.127410+00:00"}