{"version":"1.0","provider_name":"Surface Reconstruction of Point Clouds from Low-Cost LiDARs Using Priors and Imaging","provider_url":"https:\/\/mscvprojects.ri.cmu.edu\/f23team6","title":"Introduction - Surface Reconstruction of Point Clouds from Low-Cost LiDARs Using Priors and Imaging","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"yL1NQZJhZ8\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/f23team6\/\">Introduction<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/f23team6\/embed\/#?secret=yL1NQZJhZ8\" width=\"600\" height=\"338\" title=\"&#8220;Introduction&#8221; &#8212; Surface Reconstruction of Point Clouds from Low-Cost LiDARs Using Priors and Imaging\" data-secret=\"yL1NQZJhZ8\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!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);\n\/\/# sourceURL=https:\/\/mscvprojects.ri.cmu.edu\/f23team6\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"This project aims to reduce the fuzziness in point clouds generated by low-cost lidars by using priors and potentially adding imagers to the ranging measurements. The goal is to improve the fidelity of reconstructions while maintaining the compact and affordable form factor of the lidar devices. Motivation Commercial lidars like the Velodyne Puck create a &hellip; Continue reading \"\"","thumbnail_url":"https:\/\/mscvprojects.ri.cmu.edu\/f23team6\/wp-content\/uploads\/sites\/83\/2023\/05\/img1-1024x331.png"}