{"version":"1.0","provider_name":"Depth Estimation in Low-light Environments for Autonomous Navigation","provider_url":"https:\/\/mscvprojects.ri.cmu.edu\/2022team7","title":"Solution - Depth Estimation in Low-light Environments for Autonomous Navigation","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"ytzDDkUNmg\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team7\/method\/\">Solution<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team7\/method\/embed\/#?secret=ytzDDkUNmg\" width=\"600\" height=\"338\" title=\"&#8220;Solution&#8221; &#8212; Depth Estimation in Low-light Environments for Autonomous Navigation\" data-secret=\"ytzDDkUNmg\" 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\/2022team7\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Our Datasets KAIST Multi-Spectral Dataset The KAIST Dataset has multiple sequences of pairs of RGB and Thermal images. Initially built as a pedestrian detection benchmark, this dataset is one of the very few publicly available datasets to have RGB and Thermal together. Moreover, this data has images from all day and different weather conditions making &hellip; Continue reading \"\"","thumbnail_url":"https:\/\/mscvprojects.ri.cmu.edu\/2022team7\/wp-content\/uploads\/sites\/62\/2022\/12\/Screen-Shot-2022-12-16-at-11.39.45-PM-1024x405.png"}