{"id":969,"date":"2021-12-28T07:00:31","date_gmt":"2021-12-28T07:00:31","guid":{"rendered":"https:\/\/webroad-seisaku.com\/fujiko-test\/?p=969"},"modified":"2023-06-29T12:06:51","modified_gmt":"2023-06-29T12:06:51","slug":"paper-accurate-tracking-and-3d-mapping-monocular-camera-wins-award","status":"publish","type":"post","link":"https:\/\/webroad-seisaku.com\/fujiko-test\/archives\/969","title":{"rendered":"Professor Daniel Cremers, Artisense founder and CSO, co-authored a paper on accurate tracking and 3D map construction using a monocular camera, and its related demo video won the Best Demo Award at an international conference"},"content":{"rendered":"<p>Kudan Inc. (headquarters in Shibuya-ku; CEO Daiu Ko; hereafter \u201cKudan\u201d), a leading provider of simultaneous localization and mapping (SLAM) solutions across multiple industries and applications, is pleased to announce that Professor Daniel Cremers, a founder and CSO (Chief Scientific Officer) of Artisense GmbH (hereafter \u201cArtisense\u201d), a Kudan group company, as well as the Head of the Chair for Computer Vision and Artificial Intelligence at the Technical University of Munich (TUM), co-authored a paper entitled \"TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo\u201d, which was presented at the Conference on Robot Learning (CoRL2021).<br \/>\nWe are also excited to announce that the demo video won the Best Demo Award at the International Conference on 3D Vision 2021 (3DV2021), where research results covering a broad variety of topics in the area of 3D research in computer vision and graphics are disseminated.<\/p>\n<p>Paper outline:<br \/>\n<a href=\"https:\/\/vision.in.tum.de\/research\/vslam\/tandem\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/vision.in.tum.de\/research\/vslam\/tandem<\/a><\/p>\n<p>Check below for the paper:<br \/>\n<a href=\"https:\/\/openreview.net\/pdf?id=FzMHiDesj0I\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/openreview.net\/pdf?id=FzMHiDesj0I<\/a><\/p>\n<p>Demo video:<br \/>\n<a href=\"https:\/\/www.youtube.com\/watch?v=L4C8Q6Gvl1w\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/www.youtube.com\/watch?v=L4C8Q6Gvl1w<\/a><\/p>\n<p>List of Award Winners:<br \/>\n<a href=\"https:\/\/3dv2021.surrey.ac.uk\/prizes\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/3dv2021.surrey.ac.uk\/prizes\/<\/a><\/p>\n<p>In their paper, Prof. Cremers et al. present the results of their research on a method called TANDEM for highly accurate tracking and 3D environment reconstruction using deep learning with a monocular camera. TANDEM outperforms other conventional and deep learning-based monocular visual odometry (VO) tracking methods, and has also proven its performance in reconstructing robust and highly accurate 3D maps.<\/p>\n<p>Artisense continues to promote research and development of cutting-edge technologies backed by academic research, led by Prof. Cremers. Also, Kudan group as a whole, as leading companies in the computer vision industry, will strive to continuously establish competitive advantages in SLAM technology on a global scale and accelerate social implementation.<\/p>\n<p><strong>About Artisense Corporation<\/strong><br \/>\nArtisense is a computer vision and sensor fusion software company that develops an integrated positioning platform using cameras as a lead sensor for the automation of robots, vehicles, and spatial intelligence applications. On a mission to accelerate the adoption of autonomous robots and machines, Artisense provides products and technology for highly accurate, robust, safe, and low-cost navigation in any space.<br \/>\nFor more information, please refer to Artisense\u2019s website at <a href=\"http:\/\/www.artisense.ai\/\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/www.artisense.ai\/<\/a>.<\/p>\n<p><strong>About Kudan Inc.<\/strong><br \/>\nKudan (Tokyo Stock Exchange securities code: 4425) is a deep tech research and development company specializing in algorithms for artificial perception (AP). As a complement to artificial intelligence (AI), AP functions allow machines to develop autonomy. Currently, Kudan is using its high-level technical innovation to explore business areas based on its own milestone models established for deep tech which provide wide-ranging impact on several major industrial fields.<br \/>\nFor more information, please refer to Kudan\u2019s website at <a href=\"https:\/\/webroad-seisaku.com\/fujiko-test\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/webroad-seisaku.com\/fujiko-test\/<\/a>.<\/p>\n<p>\u25a0Company Details<br \/>\nName: Kudan Inc.<br \/>\nSecurities Code: 4425<br \/>\nRepresentative: CEO Daiu Ko<\/p>\n<p>\u25a0For more details, please contact us from <a href=\"https:\/\/webroad-seisaku.com\/fujiko-test\/contact\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kudan Inc. (headquarters in Shibuya-ku; CEO Daiu Ko; hereafter \u201cKudan\u201d), a leading provider of simultaneous localization and mapping (SLAM) solutions across multiple industries and applications, is pleased to announce that Professor Daniel Cremers, a founder and CSO (Chief Scientific Officer) of Artisense GmbH (hereafter \u201cArtisense\u201d), a Kudan group company, as well as the Head of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":781,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","_veu_custom_css":"","veu_display_promotion_alert":"","vkexunit_cta_each_option":"","_lightning_design_setting":[],"header_top_description":"","footnotes":""},"categories":[1],"tags":[155,159,156,154,19,158,162,160,161,5,153,86,157,163],"class_list":["post-969","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press","tag-3d-map-construction","tag-3dv2021","tag-a-monocular-camera","tag-accurate-tracking","tag-artisense","tag-best-demo-award","tag-conference-on-robot-learning","tag-corl2021","tag-international-conference-on-3d-vision-2021","tag-kudan","tag-paper","tag-professor-daniel-cremers","tag-tandem","tag-tracking-and-dense-mapping-in-real-time-using-deep-multi-view-stereo"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/969","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/comments?post=969"}],"version-history":[{"count":2,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/969\/revisions"}],"predecessor-version":[{"id":1243,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/969\/revisions\/1243"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/media\/781"}],"wp:attachment":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/media?parent=969"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/categories?post=969"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/tags?post=969"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}