{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00052499","sets":["1164:4619:4643:4646"]},"path":["4646"],"owner":"1","recid":"52499","title":["固有空間法の位置推定能力を考慮した効率的な観測戦略による位置推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2004-05-06"},"_buckets":{"deposit":"d1546930-8d2a-4608-aa14-2fd1ae9c0240"},"_deposit":{"id":"52499","pid":{"type":"depid","value":"52499","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"固有空間法の位置推定能力を考慮した効率的な観測戦略による位置推定","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"固有空間法の位置推定能力を考慮した効率的な観測戦略による位置推定"},{"subitem_title":"Localization by Effective Observation Strategy using Estimation Ability of Eigenspace Method","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2004-05-06","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"福岡大学"},{"subitem_text_value":"大阪大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Fukuoka univ.","subitem_text_language":"en"},{"subitem_text_value":"Osaka Univ.","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/52499/files/IPSJ-CVIM04144022.pdf"},"date":[{"dateType":"Available","dateValue":"2006-05-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM04144022.pdf","filesize":[{"value":"831.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"7edb4f1b-d9cf-4beb-9254-4cdb86ace4e3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2004 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"前田, 佐嘉志"},{"creatorName":"白井, 良明"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Sakashi, Maeda","creatorNameLang":"en"},{"creatorName":"Yoshiaki, Shirai","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では，ビューベーストアプローチによるロボットの自己位置推定法を提案する．予め記憶しておいた学習画像と推定時の入力画像との照合による位置推定を行う方法において，学習画像を予め解析して正確な位置推定が行える領域(推定可能領域)を求めておくことによって従来手法の不安定性を解決する．また，予め推定可能領域の配置を解析しておくことによって少ない移動回数で位置を決定することができる移動戦略を求める方法を確立した．更に，少ない獲得回数で学習を終えるための学習戦略を求める方法を確立した．実験により提案手法の能力を確認した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We extend the parametric eigenspace method to robot localization. Because of the image changes violently by rotation or movement of the robot, we cannot use parametric eigenspace method directory. We solve this problem by analyzing eigenspace. By searching the area where image change is smooth, we can localize robot position precisely by liner interpolation. Moreover, this area can be used to measure localization ability for current learning. So, at the leaning phase, the robot can judge where is the appropriate position for next observation and memory. Additionally, using this area, the movement strategy of the robot for efficient observation can be computed beforehand.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"182","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"173","bibliographicIssueDates":{"bibliographicIssueDate":"2004-05-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"40(2004-CVIM-144)","bibliographicVolumeNumber":"2004"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:16:48.868008+00:00","updated":"2025-01-22T06:45:17.927580+00:00","id":52499}