{"_buckets": {"deposit": "54c38605-64ab-4b87-8a35-a924bca1de36"}, "_deposit": {"id": "19315", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "19315"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00019315", "sets": ["314"]}, "author_link": ["56559", "56560", "56561", "56562", "56563", "56564", "56565", "56566", "56567", "56568", "56569", "56570"], "item_10_alternative_title_19": {"attribute_name": "その他のタイトル", "attribute_value_mlt": [{"subitem_alternative_title": "Ego-Localization Based on Frame Correspondences between In-Vehicle Camera Images and Streetview Database", "subitem_alternative_title_language": "en"}]}, "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-11", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "11", "bibliographicPageEnd": "1982", "bibliographicPageStart": "1973", "bibliographicVolumeNumber": "J95-D", "bibliographic_titles": [{"bibliographic_title": "電子情報通信学会論文誌. D, 情報・システム", "bibliographic_titleLang": "ja"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "本論文では,自車前方を撮影した車載カメラ映像を用いた高精度な自車位置推定手法を提案する.提案手法では,車載カメラ映像と位置情報付き市街地映像データベースのフレーム対応付けを行い,対応づけられたデータベース中のフレームがもつ位置情報を参照することで自車位置推定を行う.同じ道路で撮られた映像同士であっても,走行速度や軌跡は異なるため,単純な画像照合による対応付けは困難である.そこで,画像特徴による照合ではなく,カメラ間の位置関係を反映したフレーム間の距離尺度を用いることで,フレーム対応付け精度の改善を図る.まず車載カメラ映像とデータベースのフレーム間で対応点を求め,それらからフレーム間の基礎行列を求める.次に,基礎行列から算出されるエピポールの位置を用いてカメラ間の距離を算出する.そして,これを距離尺度とするDPマッチングにより,フレーム同士を対応づける.実際の車載カメラ映像を用いた評価実験の結果,提案手法の有効性を確認した.", "subitem_description_language": "ja", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://www.ieice.org/jpn/trans_online/index.html"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/21412"}]}, "item_10_publisher_32": {"attribute_name": "出版者", 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