{"id":1,"date":"2023-05-01T17:41:35","date_gmt":"2023-05-01T17:41:35","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/f23team1\/?p=1"},"modified":"2023-05-09T18:45:43","modified_gmt":"2023-05-09T18:45:43","slug":"introduction","status":"publish","type":"post","link":"https:\/\/mscvprojects.ri.cmu.edu\/f23team1\/2023\/05\/01\/introduction\/","title":{"rendered":"Introduction"},"content":{"rendered":"\n<p>We&#8217;re working on a novel approach to tackle the ObjectNav problem in indoor environments. Our method aims to utilize temporally coherent 3D features and penalize inconsistent semantic labels for improved navigation performance and temporal consistency. With a dual-headed system for separate 2D and 3D navigation, we aspire to achieve increased modularity. Our ultimate goal is to explore Sim2Real capabilities and extend our solution to outdoor scenes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We&#8217;re working on a novel approach to tackle the ObjectNav problem in indoor environments. Our method aims to utilize temporally coherent 3D features and penalize inconsistent semantic labels for improved navigation performance and temporal consistency. With a dual-headed system for separate 2D and 3D navigation, we aspire to achieve increased modularity. Our ultimate goal is &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/f23team1\/2023\/05\/01\/introduction\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Introduction&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Introduction - Learning to Navigate in Photorealistic Environments<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mscvprojects.ri.cmu.edu\/f23team1\/2023\/05\/01\/introduction\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introduction - Learning to Navigate in Photorealistic Environments\" \/>\n<meta property=\"og:description\" content=\"We&#8217;re working on a novel approach to tackle the ObjectNav problem in indoor environments. 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