{"id":1394,"date":"2022-08-31T09:30:53","date_gmt":"2022-08-31T09:30:53","guid":{"rendered":"https:\/\/webroad-seisaku.com\/fujiko-test\/?p=1394"},"modified":"2023-06-12T06:49:13","modified_gmt":"2023-06-12T06:49:13","slug":"kudan-and-artisense-to-sponsor-the-upcoming-workshop-in-october-2022","status":"publish","type":"post","link":"https:\/\/webroad-seisaku.com\/fujiko-test\/archives\/1394","title":{"rendered":"Kudan and Artisense to sponsor the upcoming workshop in October 2022: \u201cMap-Based Localization for Autonomous Driving Workshop (ECCV 2022)\u201d"},"content":{"rendered":"<p>Kudan Inc. (headquartered in Shibuya-ku, Tokyo; CEO Daiu Ko, hereafter \u201cKudan\u201d), a leading provider of Artificial Perception \/ SLAM technology across a variety of applications, is pleased to announce that Kudan and Artisense GmbH (Kudan\u2019s group company, hereafter \u201cArtisense\u201d) sponsor the workshop on \u201cMap-Based Localization for Autonomous Driving Workshop (ECCV 2022)\u201d in collaboration with the Technical University of Munich (<a href=\"https:\/\/www.tum.de\/\" target=\"_blank\" rel=\"noopener\">TUM<\/a>). This is going to take place during ECCV 2022, 23-27 October 2022.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1395 size-large\" src=\"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/08\/ECCV-Workshop-Kudan-1024x576.png\" alt=\"\" width=\"1024\" height=\"576\" srcset=\"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/08\/ECCV-Workshop-Kudan-1024x576.png 1024w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/08\/ECCV-Workshop-Kudan-300x169.png 300w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/08\/ECCV-Workshop-Kudan-768x432.png 768w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/08\/ECCV-Workshop-Kudan-1536x864.png 1536w, https:\/\/webroad-seisaku.com\/fujiko-test\/wp-content\/uploads\/2022\/08\/ECCV-Workshop-Kudan.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>This workshop consists of multiple sessions related to localization and mapping topics in the field of autonomous driving. This includes notable speakers such as:<\/p>\n<ul>\n<li>Abhinav Valada (The University of Freiburg)<\/li>\n<li>Andrew Davison (Imperial College London)<\/li>\n<li>Henning Lategahn (atlatec GmbH)<\/li>\n<li>Philipp Kr\u00e4henb\u00fchl (The University of Texas at Austin)<\/li>\n<li>Yuning Chai (Cruise)<\/li>\n<\/ul>\n<p>(From Artisense <a href=\"https:\/\/www.artisense.ai\/events\/mlad-eccv-2022\" target=\"_blank\" rel=\"noopener\">HP<\/a>)<\/p>\n<p>Additionally, we are pleased to host the 3rd edition of the re-localization challenge for autonomous driving based on the 4Seasons dataset. 4Seasons dataset contains various sensor data for multiple places in literally all the 4 seasons for testing re-localization robustness against seasonal changes of sceneries. This challenge is open to the public for participation.<\/p>\n<p>For more details, visit <a href=\"https:\/\/sites.google.com\/view\/mlad-eccv2022\" target=\"_blank\" rel=\"noopener\">https:\/\/sites.google.com\/view\/mlad-eccv2022<\/a>.<\/p>\n<p><strong>About Artisense GmbH<\/strong><br \/>\nArtisense is a computer vision and sensor fusion software company that develops an integrated localization and mapping platform using cameras as a lead sensor for the automation of robots, vehicles and spatial intelligence applications. Artisense was founded in 2016 as a spin-off of the Technical University of Munich (TUM) by Prof. Daniel Cremers and Andrej Kulikov. Following December 2021, Artisense is now a subsidiary of Kudan Inc.<br \/>\nFor more information, please refer to Artisense\u2019s website at <a href=\"https:\/\/www.artisense.ai\/\" target=\"_blank\" rel=\"noopener\">https:\/\/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. (headquartered in Shibuya-ku, Tokyo; CEO Daiu Ko, hereafter \u201cKudan\u201d), a leading provider of Artificial Perception \/ SLAM technology across a variety of applications, is pleased to announce that Kudan and Artisense GmbH (Kudan\u2019s group company, hereafter \u201cArtisense\u201d) sponsor the workshop on \u201cMap-Based Localization for Autonomous Driving Workshop (ECCV 2022)\u201d in collaboration with the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1397,"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":[19,265,5,266,94,99,88,87],"class_list":["post-1394","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press","tag-artisense","tag-eccv-2022","tag-kudan","tag-map-based-localization-for-autonomous-driving-workshop","tag-simultaneous-localization-and-mapping","tag-sponsor","tag-technical-university-of-munich","tag-tum"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/1394","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=1394"}],"version-history":[{"count":1,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/1394\/revisions"}],"predecessor-version":[{"id":1396,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/posts\/1394\/revisions\/1396"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/media\/1397"}],"wp:attachment":[{"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/media?parent=1394"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/categories?post=1394"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webroad-seisaku.com\/fujiko-test\/wp-json\/wp\/v2\/tags?post=1394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}