{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232638","sets":["1164:4061:11479:11513"]},"path":["11513"],"owner":"44499","recid":"232638","title":["自動運転シミュレータCarlaを用いた複数物体追跡による連合学習のための教師データ改善"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-02-22"},"_buckets":{"deposit":"d8488518-7094-411b-b9ee-8cbcf7db3504"},"_deposit":{"id":"232638","pid":{"type":"depid","value":"232638","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"自動運転シミュレータCarlaを用いた複数物体追跡による連合学習のための教師データ改善","author_link":["630297","630292","630296","630293","630291","630295","630290","630294"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"自動運転シミュレータCarlaを用いた複数物体追跡による連合学習のための教師データ改善"},{"subitem_title":"Improving Training Data of Object Detection with Multiple Object Tracking for Federated Learning","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"画像センシング・位置推定","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-02-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"電気通信大学情報理工学域セキュリティ情報学プログラム"},{"subitem_text_value":"電気通信大学情報理工学域セキュリティ情報学プログラム"},{"subitem_text_value":"電気通信大学情報理工学域セキュリティ情報学プログラム"},{"subitem_text_value":"電気通信大学情報理工学域セキュリティ情報学プログラム"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"The University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"The University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"The University of Electro-Communications","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/232638/files/IPSJ-UBI24081034.pdf","label":"IPSJ-UBI24081034.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-UBI24081034.pdf","filesize":[{"value":"1.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"36"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"1c36f595-a170-4b8f-b6e9-e0a3bd841ee9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"池田, 悠太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中濱, 雄喜"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大坐畠, 智"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山本, 嶺"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuta, Ikeda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"YuuKi, Nakahama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoshi, Ohzahata","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryo, Yamamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11838947","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":"2188-8698","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"自動運転においてユーザプライバシ保護のために連合学習が用いられる際に，クライアントがサーバを経由せずに正確な正解ラベルが入手できないという課題がある．そこで本研究では機械学習による物体特定とオブジェクトトラッキングを組み合わせることにより，精度の高い正解ラベルを生成する手法の実装及び評価を行った．自動運転シミュレータを用いて生成した画像に対し実験を行った結果，連合学習の精度が向上したため，オブジェクトトラッキングによるラベル付けの精度の改善が有効であることが確認できた．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"When Federated learning is used in an automated driving environment to protect user privacy, the client in the training process cannot obtain correct label information from a server. In this study, we implemented and evaluated a method for obtaining correct labels by combining object detection and object tracking using machine learning. The results show that object tracking improves the accuracy of the federated learning model, and an object tracking is effective in improving the accuracy of labeling.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告ユビキタスコンピューティングシステム（UBI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"34","bibliographicVolumeNumber":"2024-UBI-81"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":232638,"updated":"2025-01-19T10:22:58.665407+00:00","links":{},"created":"2025-01-19T01:33:37.331388+00:00"}