{"id":1487,"date":"2022-10-13T08:32:17","date_gmt":"2022-10-13T08:32:17","guid":{"rendered":"https:\/\/webroad-seisaku.com\/fujiko-test\/?p=1487"},"modified":"2023-06-12T06:49:12","modified_gmt":"2023-06-12T06:49:12","slug":"kdvisual-has-launched-as-part-of-the-latest-release-of-intel-edge-insight-for-amr-platform","status":"publish","type":"post","link":"https:\/\/webroad-seisaku.com\/fujiko-test\/archives\/1487","title":{"rendered":"Kudan Visual SLAM has launched as part of the latest release of Intel Edge Insight for AMR Platform"},"content":{"rendered":"<h1><em><strong>~ Kudan Selected to Provide Visual SLAM for Intel Edge Insight for AMR Platform with Hardware Acceleration on Intel XPU ~<\/strong><\/em><\/h1>\n<p>Kudan Inc. (headquarters in Shibuya-ku, Tokyo; CEO Daiu Ko, hereafter \u201cKudan\u201d) is proud to announce that Intel released its latest Intel Edge Insight for Autonomous Mobile Robots, its software platform targeting the AMR (Autonomous Mobile Robot) application, including Kudan Visual SLAM (KdVisual) as its Visual SLAM software of choice for commercial usage. Kudan Visual SLAM combined with Intel EI for AMR enables AMR OEMs and its developers to build robust and reliable AMRs for the most demanding jobs more quickly and efficiently without sacrificing accuracy and performance.<\/p>\n<p>The Intel Edge Insight (EI) for AMRs is an open, modular Software Development Kit (SDK) that includes libraries, middleware, and sample applications to accelerate the development and deployment of AMR hardware and software solutions for any compute architecture that best fits the need of your application (i.e. \u201cXPUs\u201d). Intel EI for AMR helps cut down development time by enabling code to be implemented once and deployed to multiple hardware configurations. SLAM provides spatial awareness to machines and plays a critical role in \u201cMapping and planning\u201d functionalities. As a strategic technology partner, Kudan\u2019s KdVisual is for projects requiring commercial-grade SLAM that is robust, flexible, and performant for a wide range of environments and applications.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1488 size-full\" src=\"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/10\/Pic1_Intel.png\" alt=\"\" width=\"872\" height=\"662\" srcset=\"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/10\/Pic1_Intel.png 872w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/10\/Pic1_Intel-300x228.png 300w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/10\/Pic1_Intel-768x583.png 768w\" sizes=\"auto, (max-width: 872px) 100vw, 872px\" \/><\/p>\n<p>KdVisual will be accessible on Intel Edge Software Hub for developers to use for their AMR once the development or commercial license agreement with Kudan is in place. A 30-day trial is offered as well with support from Intel and Kudan for initial validation.<\/p>\n<p>The release of KdVisual as part of EI for AMRs is the culmination of the ongoing collaboration between Intel and Kudan. These joint development projects over the last 2 years have led to extending KdVisual performance by hardware-accelerating optimizations of Kudan\u2019s SLAM algorithm on Intel XPUs (e.g. 11th generation Intel Core or 3rd gen Intel Xeon Scalable and beyond processors), and furthers Kudan\u2019s unmatched SLAM performance in speed, accuracy, and reliability. The highlights are the following.<\/p>\n<ul>\n<li>Hardware acceleration on Intel XPU to deliver unparalleled SLAM performance with stereo and depth (RGB-D) cameras on ROS2 platform<\/li>\n<li>Fundamental performance advantage compared to other 2D and Visual SLAM. Significant lower CPU usage from hardware acceleration, and removes the processing power requirement barrier<\/li>\n<li>Increased robustness and reliability in challenging situations than other 2D and Visual SLAM. It can survive even when up to 95% of the mapped scenery changes<\/li>\n<li>Integration with Intel EI for AMR for rapid integration and time-to-market than in-house development and other external SLAM software<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1489 size-full\" src=\"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/10\/Pic2_Intel.png\" alt=\"\" width=\"887\" height=\"372\" srcset=\"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/10\/Pic2_Intel.png 887w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/10\/Pic2_Intel-300x126.png 300w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/10\/Pic2_Intel-768x322.png 768w\" sizes=\"auto, (max-width: 887px) 100vw, 887px\" \/><\/p>\n<p>Juan Wee, Chief Operating Officer, Kudan USA commented that \u201cThis is one of those rare instances where the right technology partners align to create a market leading technology solution for AMRs, that enhances the experience for its customers. I look forward to working with our partners and customers with Kudan\u2019s Intel XPU-accelerated Visual SLAM software and Edge Insights for Autonomous Mobile Robot SDK.\u201d<\/p>\n<p>Jonathan Luse, Senior Director of Federal &amp; Industrial Solutions Management at Intel commented that \u201cAdoption of AMRs has been changing operations and improving business outcomes across many industries like Manufacturing and Retail. Kudan offers the SLAM algorithms and Intel brings the compute performance needed for AMRs. When you bring these pre-validated solutions together, it helps customers bring their AMRs to market.\"<\/p>\n<p>As we continue our work with Intel, we look forward to broadening the scope and impact of our collaboration through the network of both companies, especially for AMR applications.<\/p>\n<p>We will share more details in the coming weeks about this collaboration.<\/p>\n<p><em>\u203bIntel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.<\/em><\/p>\n<p><strong>About Kudan Inc.<\/strong><br \/>\nKudan\u3000is 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 (TSE Growth)<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 Selected to Provide Visual SLAM for Intel Edge Insight for AMR Platform with Hardware Acceleration on Intel XPU ~ Kudan Inc. (headquarters in Shibuya-ku, Tokyo; CEO Daiu Ko, hereafter \u201cKudan\u201d) is proud to announce that Intel released its latest Intel Edge Insight for Autonomous Mobile Robots, its software platform targeting the AMR (Autonomous [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1490,"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":[23,124,281,282,185,48,5,45,283,284],"class_list":["post-1487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press","tag-amr","tag-autonomous-mobile-robots","tag-edge-insight","tag-ei","tag-intel","tag-kdvisual","tag-kudan","tag-kudan-visual-slam","tag-platform","tag-xpu"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/1487","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=1487"}],"version-history":[{"count":3,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/1487\/revisions"}],"predecessor-version":[{"id":1496,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/1487\/revisions\/1496"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/media\/1490"}],"wp:attachment":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/media?parent=1487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/categories?post=1487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/tags?post=1487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}