{"id":32391,"date":"2026-01-21T17:01:51","date_gmt":"2026-01-21T17:01:51","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/towards-a-dataset-of-realistic-3d-intralogistics-scenes-for-ai-applications\/"},"modified":"2026-06-08T13:20:08","modified_gmt":"2026-06-08T13:20:08","slug":"towards-a-dataset-of-realistic-3d-intralogistics-scenes-for-ai-applications","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/towards-a-dataset-of-realistic-3d-intralogistics-scenes-for-ai-applications\/","title":{"rendered":"Towards a {Dataset} of {Realistic} {3D} {Intralogistics} {Scenes} for {AI} {Applications}"},"content":{"rendered":"<p>Realistic data is the crucial basis for the development and operation of artificial intelligence (AI) applications. In intralogistics many applications require realistic 3D representations of the material flow systems as a basis. Capturing real world 3D data or building synthetic 3D scenes by hand is costly. In order to generate realistic scenes, a reference dataset of realistic intralogistics systems is required. This paper shows motivating use cases for a 3D dataset of intralogistics scenes and works out an approach to capture such a dataset.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Realistic data is the crucial basis for the development and operation of artificial intelligence (AI) applications. In intralogistics many applications require realistic 3D representations of the material flow systems as a basis. Capturing real world 3D data or building synthetic 3D scenes by hand is costly. In order to generate realistic scenes, a reference dataset of realistic intralogistics systems is required. This paper shows motivating use cases for a 3D [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[30],"class_list":["post-32391","publication","type-publication","status-publish","hentry","publication-type-article"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32391","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/12"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32391\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32391"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32391"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}