{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00177226","sets":["6164:6165:6640:9062"]},"path":["9062"],"owner":"11","recid":"177226","title":["携帯端末を使った環境センシングによる自己位置推定についての一考察"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-07-06"},"_buckets":{"deposit":"2fbcabf4-0f95-4799-8b36-f40a500070cc"},"_deposit":{"id":"177226","pid":{"type":"depid","value":"177226","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"携帯端末を使った環境センシングによる自己位置推定についての一考察","author_link":["375667","375666"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"携帯端末を使った環境センシングによる自己位置推定についての一考察"}]},"item_type_id":"18","publish_date":"2016-07-06","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"千葉大学大学院融合科学研究科"},{"subitem_text_value":"千葉大学大学院融合科学研究科"}]},"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/177226/files/IPSJ-DICOMO2016123.pdf","label":"IPSJ-DICOMO2016123.pdf"},"date":[{"dateType":"Available","dateValue":"2016-07-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2016123.pdf","filesize":[{"value":"350.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8edbecc5-0f06-48d3-bad9-9592f39407b2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"梅澤, 猛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大澤, 範高"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"スマートフォンやタブレットには多くのセンサが標準装備されており，それらを活用して端末周辺の環境情報をセンシングすることができる．周囲の環境情報を元に，自己位置を推定することで，屋内移動の支援に必要な大まかな位置情報を得ることができると考えられる．自律移動ロボットをはじめ，環境センシングにより自己位置推定を行おうとする例は多数あるが，mm ～ cm 単位での細粒度推定を目指すものが多く，粒度を粗くすることによって，高精度な推定手法を比較的手軽に実現できないかを検討したい．現状の携帯端末に標準的に搭載されているセンサについて，それぞれから得られるデータ種別とその特徴に基づいて，自己位置推定に使用する環境情報としての適正を検討する．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"875","bibliographic_titles":[{"bibliographic_title":"マルチメディア，分散協調とモバイルシンポジウム2016論文集"}],"bibliographicPageStart":"872","bibliographicIssueDates":{"bibliographicIssueDate":"2016-07-06","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2016"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":177226,"updated":"2025-01-20T05:33:52.099614+00:00","links":{},"created":"2025-01-19T00:46:48.060307+00:00"}