{"created":"2021-09-10T01:13:24.372408+00:00","id":2001418,"links":{},"metadata":{"_buckets":{"deposit":"b9fbe1b7-84cc-445b-a50b-329b027f2878"},"_deposit":{"created_by":17,"id":"2001418","owner":"17","owners":[17],"owners_ext":{"displayname":"図書情報係","username":"repository"},"pid":{"revision_id":0,"type":"depid","value":"2001418"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:02001418","sets":["1939:1940:1941"]},"author_link":[],"item_1615768549627":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_1629683748249":{"attribute_name":"日付","attribute_value_mlt":[{"subitem_date_issued_datetime":"2021-09-10","subitem_date_issued_type":"Available"}]},"item_9_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"256","bibliographicPageStart":"243","bibliographicVolumeNumber":"22","bibliographic_titles":[{"bibliographic_title":"IEEE Transactions on Intelligent Transportation Systems","bibliographic_titleLang":"en"}]}]},"item_9_description_4":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Continuous point cloud data is being used more and more widely in practical applications such as mapping, localization and object detection in autonomous driving systems, but due to the huge volume of data involved, sharing and storing this data is currently expensive and difficult. One possible solution is the development of more efficient methods of compressing the data. Other researchers have proposed converting 3D point cloud data into 2D images, or using tree structures to store the data. In a previous study targeting streaming point cloud data, we proposed an MPEG-like compression method which utilizes simultaneous localization and mapping (SLAM) results to simulate LiDAR's operating process. In this paper, instead of imitating MPEG, we propose new strategy for more efficient reference frame distribution and more natural frame prediction, and use a different algorithm to encode the residual, greatly improving the algorithm's performance and its stability in different scenarios. We also discuss how various parameters affect compression performance. Using our proposed method, streaming point cloud data collected by LiDAR sensors can be compressed to 1/50th of its original size, with only 2 cm of Root Mean Square Error for each detected point. We evaluate our proposed method by comparing its performance with several other existing point cloud compression methods in three different driving scenarios, demonstrating that our proposed method outperforms them.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_9_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE","subitem_publisher_language":"en"}]},"item_9_relation_43":{"attribute_name":"関連情報","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/TITS.2019.2956066","subitem_relation_type_select":"DOI"}}]},"item_9_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"“© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”","subitem_rights_language":"en"}]},"item_9_source_id_7":{"attribute_name":"収録物識別子","attribute_value_mlt":[{"subitem_source_identifier":"1524-9050","subitem_source_identifier_type":"PISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tu, Chenxi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Takeuchi, Eijiro","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Carballo, Alexander","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Miyajima, Chiyomi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Takeda, Kazuya","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-09-10"}],"displaytype":"detail","filename":"C_Tu_Motion_Analysis_and_PerformanceImproved_Method.pdf","filesize":[{"value":"5.2 MB"}],"format":"application/pdf","url":{"objectType":"fulltext","url":"https://nagoya.repo.nii.ac.jp/record/2001418/files/C_Tu_Motion_Analysis_and_PerformanceImproved_Method.pdf"},"version_id":"cfcf7e09-f4ac-4bf1-be4d-6507875a4e61"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Point cloud","subitem_subject_scheme":"Other"},{"subitem_subject":"Data compression","subitem_subject_scheme":"Other"},{"subitem_subject":"3D LiDAR","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Motion Analysis and Performance Improved Method for 3D LiDAR Sensor Data Compression","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Motion Analysis and Performance Improved Method for 3D LiDAR Sensor Data Compression","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"17","path":["1941"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-09-10"},"publish_date":"2021-09-10","publish_status":"0","recid":"2001418","relation_version_is_last":true,"title":["Motion Analysis and Performance Improved Method for 3D LiDAR Sensor Data Compression"],"weko_creator_id":"17","weko_shared_id":-1},"updated":"2023-01-16T04:59:19.325897+00:00"}