1.0Semantic Map Representationhttps://mscvprojects.ri.cmu.edu/2020teambrich600338<blockquote class="wp-embedded-content" data-secret="ij8q0yYqOl"><a href="https://mscvprojects.ri.cmu.edu/2020teamb/2020/05/10/semantic-map-representation/">Semantic Map Representation</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2020teamb/2020/05/10/semantic-map-representation/embed/#?secret=ij8q0yYqOl" width="600" height="338" title="“Semantic Map Representation” — Semantic Map Representation" data-secret="ij8q0yYqOl" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://mscvprojects.ri.cmu.edu/2020teamb/wp-includes/js/wp-embed.min.js </script> This MSCV Capstone Project is sponsored by Amazon Lab126 and advised by Prof. Kaess. Project Summary: 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 write our own software on … Continue reading ""https://mscvprojects.ri.cmu.edu/2020teamb/wp-content/uploads/sites/32/2020/12/tum.png1087599