{"updated":"2025-01-19T16:22:46.781033+00:00","links":{},"created":"2025-01-19T01:15:45.769424+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214974","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"214974","title":["実歩行データに基づく歩行者モデルの提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"16eff213-dcdb-495b-853d-8acde0b0d146"},"_deposit":{"id":"214974","pid":{"type":"depid","value":"214974","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"実歩行データに基づく歩行者モデルの提案","author_link":["553256","553255"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"実歩行データに基づく歩行者モデルの提案"}]},"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":"法大"},{"subitem_text_value":"法大"}]},"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/214974/files/IPSJ-Z83-1Q-04.pdf","label":"IPSJ-Z83-1Q-04.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-1Q-04.pdf","filesize":[{"value":"419.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"ed7050e5-4f43-4a21-9493-37c2431ccef3","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":"間宮, 竜大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤田, 悟"}],"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":"本論文では、歩行者の軌跡を予測するモデルを提案する。Helbingが提案したSocial Forceモデルは歩行者の行動を推定する代表的なモデルであるが、物理モデルであるため実歩行データとの差異が観測されている。Social LSTMとそれに続く研究は、歩行者行動の学習モデルにLSTMを適用することで、この欠点を解決した。一方、Social LSTMは周囲の相互作用などの歩行者行動を表現することができたが、それらの行動は学習データ全ての平均的なものであった。そこで、本研究では、学習データを歩行者の状況の特徴に応じて学習モデルの作成を行うことで、歩行流の特徴を学習したモデルを提案する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"346","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"345","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214974}