{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215046","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"215046","title":["CNNによる平面駐車場混雑度分類手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"886d3241-0393-4ad3-b23a-1fddfb54c1c8"},"_deposit":{"id":"215046","pid":{"type":"depid","value":"215046","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"CNNによる平面駐車場混雑度分類手法の提案","author_link":["553481","553482","553483","553480"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CNNによる平面駐車場混雑度分類手法の提案"}]},"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":"2021-03-04","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":"東京情報大"},{"subitem_text_value":"東京情報大"},{"subitem_text_value":"東京情報大"},{"subitem_text_value":"株式会社ニチゾウテック"}]},"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/215046/files/IPSJ-Z83-5R-02.pdf","label":"IPSJ-Z83-5R-02.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-5R-02.pdf","filesize":[{"value":"510.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"cab4c6ec-fa58-451c-805f-38b57e5b7776","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"川口, 拓海"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ケネス, マッキン"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"永井, 保夫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"堅多, 達也"}],"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":"現在、平面駐車場においてカメラを用いた知的混雑度分類手法が運用されている。しかし、車室ごとの判定枠設定や教師データ作成などの事前設計により導入コストが増大してしまう。本研究では畳み込みニューラルネットワーク（CNN）を用いた混雑度分類手法を提案する。CNNにより区画全体から混雑度を分類することで、車室ごとの事前設計が不要となるため導入コストの低減が期待できる。実験では高速道路SA一般駐車場の1区画の混雑度を分類し、精度の検証を行った。また、1区画にて学習したネットワークを用いて他区画の混雑度分類が可能か検証を行った。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"494","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"493","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215046,"updated":"2025-01-19T16:20:45.223470+00:00","links":{},"created":"2025-01-19T01:15:49.850329+00:00"}