{"id":19,"date":"2020-05-09T16:38:50","date_gmt":"2020-05-09T16:38:50","guid":{"rendered":"http:\/\/mscvprojects.ri.cmu.edu\/2020teamb\/?page_id=19"},"modified":"2020-12-14T20:36:59","modified_gmt":"2020-12-14T20:36:59","slug":"homepage","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2020teamb\/homepage\/","title":{"rendered":"Homepage"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2020teamb\/wp-content\/uploads\/sites\/32\/2020\/05\/Screenshot-from-2020-04-26-19-34-36-1-1024x243.png\" alt=\"\" class=\"wp-image-20\" \/><\/figure>\n\n\n\n<p>This MSCV Capstone Project is sponsored by Amazon Lab126 and advised by Prof. Kaess.<\/p>\n\n\n\n<p>Typical visual SLAM (Simultaneous Localization and Mapping) systems track features (points, lines) in the environment to derive the camera trajectory, however, these features are typically not semantically meaningful. In this project,  we attempt to investigate the use of semantic features that might coincide with objects or are derived from other forms of scene understanding. Understanding features will allow trajectory estimation to focus on structural features that can be assumed to be static (doorways, sink, stove, etc.) while tracking others that might move over time (doors, chairs).One challenge is that the approach should also work in environments with objects that have not previously been observed or learned.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This MSCV Capstone Project is sponsored by Amazon Lab126 and advised by Prof. Kaess. Typical visual SLAM (Simultaneous Localization and Mapping) systems track features (points, lines) in the environment to derive the camera trajectory, however, these features are typically not semantically meaningful. In this project, we attempt to investigate the use of semantic features that &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2020teamb\/homepage\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Homepage&#8221;<\/span><\/a><\/p>\n","protected":false},"author":72,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-19","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Homepage - Semantic Map Representation<\/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\/2020teamb\/homepage\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Homepage - Semantic Map Representation\" \/>\n<meta property=\"og:description\" content=\"This MSCV Capstone Project is sponsored by Amazon Lab126 and advised by Prof. Kaess. Typical visual SLAM (Simultaneous Localization and Mapping) systems track features (points, lines) in the environment to derive the camera trajectory, however, these features are typically not semantically meaningful. In this project, we attempt to investigate the use of semantic features that &hellip; Continue reading &quot;Homepage&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mscvprojects.ri.cmu.edu\/2020teamb\/homepage\/\" \/>\n<meta property=\"og:site_name\" content=\"Semantic Map Representation\" \/>\n<meta property=\"article:modified_time\" content=\"2020-12-14T20:36:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/homepage\\\/\",\"url\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/homepage\\\/\",\"name\":\"Homepage - Semantic Map Representation\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/homepage\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/homepage\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/wp-content\\\/uploads\\\/sites\\\/32\\\/2020\\\/05\\\/Screenshot-from-2020-04-26-19-34-36-1-1024x243.png\",\"datePublished\":\"2020-05-09T16:38:50+00:00\",\"dateModified\":\"2020-12-14T20:36:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/homepage\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/homepage\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/homepage\\\/#primaryimage\",\"url\":\"\",\"contentUrl\":\"\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/homepage\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Homepage\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/#website\",\"url\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/\",\"name\":\"Semantic Map Representation\",\"description\":\"Yurou Yang and Sajal Maheshwari, with Prof. Michael Kaess. Sponsored by Amazon\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2020teamb\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Homepage - Semantic Map Representation","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/mscvprojects.ri.cmu.edu\/2020teamb\/homepage\/","og_locale":"en_US","og_type":"article","og_title":"Homepage - Semantic Map Representation","og_description":"This MSCV Capstone Project is sponsored by Amazon Lab126 and advised by Prof. Kaess. 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