{"created":"2025-01-19T01:29:37.815278+00:00","updated":"2025-01-19T11:17:53.460188+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230082","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230082","title":["深層学習を用いた車両台数推定システムの構築"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"85a3561a-d27f-465e-8636-8f667322fb2d"},"_deposit":{"id":"230082","pid":{"type":"depid","value":"230082","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習を用いた車両台数推定システムの構築","author_link":["619006"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習を用いた車両台数推定システムの構築"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","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":"岩手県大"}]},"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/230082/files/IPSJ-Z85-1U-03.pdf","label":"IPSJ-Z85-1U-03.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-1U-03.pdf","filesize":[{"value":"1.0 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"0fb2b45d-466f-446e-9619-e225718445b6","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":"千田, 浩正"}],"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":"　ユーザーは空の駐車場を見つけるまで、駐車場を回り続けるという問題が常に発生する。その問題を解決するために、本論文では、YOLOv3とCNNで車両台数推定モデルを構築し、2つの手法のモデルを比較する。また、このモデルでは、「天候や時間帯に左右されずに正しく車両台数を推定する」ということを目標にしているので、毎日7,10,13,16,19時ごとに駐車画像を収集した。YOLOv3では、収集した画像にイメージラベラーでラベル付けを行い、車両位置を推定した。推定したバウンティボックスの数により車両台数を推定する。また、CNNでは、収集した画像とエクセルに駐車台数を記録したデータで学習させる。そして2つの手法で推定した車両台数の精度を比較する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"584","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"583","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230082,"links":{}}