{"id":1,"date":"2019-02-01T20:18:15","date_gmt":"2019-02-01T20:18:15","guid":{"rendered":"http:\/\/mscvprojects.ri.cmu.edu\/2019teamb\/?p=1"},"modified":"2019-05-06T20:35:43","modified_gmt":"2019-05-06T20:35:43","slug":"hello-world","status":"publish","type":"post","link":"https:\/\/mscvprojects.ri.cmu.edu\/2019teamb\/2019\/02\/01\/hello-world\/","title":{"rendered":"Initial Project Overview from Amazon Lab126"},"content":{"rendered":"<p>Visual SLAM algorithms typically fuse data from stereo cameras and IMU requiring calibration of intrinsic and extrinsic properties. Factory calibration typically provides sufficient estimation if these parameters however in many systems these parameters might vary over time due to thermal changes or physical misalignment due to internal or external factors.It would be helpful to understand how to determine which parameters actually change in a given system design and how best to accommodate this change by implementing an online calibration system to mitigate the impact of changes over time. Additionally, it would be helpful to understand the impact to the fused sensor data due to these changes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Visual SLAM algorithms typically fuse data from stereo cameras and IMU requiring calibration of intrinsic and extrinsic properties. Factory calibration typically provides sufficient estimation if these parameters however in many systems these parameters might vary over time due to thermal changes or physical misalignment due to internal or external factors.It would be helpful to understand &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2019teamb\/2019\/02\/01\/hello-world\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Initial Project Overview from Amazon Lab126&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","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 v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Initial Project Overview from Amazon Lab126 - Online Calibration<\/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\/2019teamb\/2019\/02\/01\/hello-world\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Initial Project Overview from Amazon Lab126 - Online Calibration\" \/>\n<meta property=\"og:description\" content=\"Visual SLAM algorithms typically fuse data from stereo cameras and IMU requiring calibration of intrinsic and extrinsic properties. Factory calibration typically provides sufficient estimation if these parameters however in many systems these parameters might vary over time due to thermal changes or physical misalignment due to internal or external factors.It would be helpful to understand &hellip; Continue reading &quot;Initial Project Overview from Amazon Lab126&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mscvprojects.ri.cmu.edu\/2019teamb\/2019\/02\/01\/hello-world\/\" \/>\n<meta property=\"og:site_name\" content=\"Online Calibration\" \/>\n<meta property=\"article:published_time\" content=\"2019-02-01T20:18:15+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-05-06T20:35:43+00:00\" \/>\n<meta name=\"author\" content=\"akrause\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"akrause\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2019teamb\\\/2019\\\/02\\\/01\\\/hello-world\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2019teamb\\\/2019\\\/02\\\/01\\\/hello-world\\\/\"},\"author\":{\"name\":\"akrause\",\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2019teamb\\\/#\\\/schema\\\/person\\\/127c70e21c150a2616136110b1aba19e\"},\"headline\":\"Initial Project Overview from Amazon Lab126\",\"datePublished\":\"2019-02-01T20:18:15+00:00\",\"dateModified\":\"2019-05-06T20:35:43+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2019teamb\\\/2019\\\/02\\\/01\\\/hello-world\\\/\"},\"wordCount\":113,\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2019teamb\\\/2019\\\/02\\\/01\\\/hello-world\\\/\",\"url\":\"https:\\\/\\\/mscvprojects.ri.cmu.edu\\\/2019teamb\\\/2019\\\/02\\\/01\\\/hello-world\\\/\",\"name\":\"Initial Project Overview from Amazon Lab126 - 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