{"version":"1.0","provider_name":"Salzburg Research Forschungsgesellschaft","provider_url":"https:\/\/www.salzburgresearch.at\/en\/","author_name":"Birgit Strohmeier","author_url":"https:\/\/www.salzburgresearch.at\/en\/author\/birgit\/","title":"Artificial Intelligence Lets Bicycles \u201cSee\u201d - Salzburg Research Forschungsgesellschaft","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"ucTfKsFbWW\"><a href=\"https:\/\/www.salzburgresearch.at\/en\/2024\/artificial-intelligence-lets-bicycles-see\/\">Artificial Intelligence Lets Bicycles \u201cSee\u201d<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.salzburgresearch.at\/en\/2024\/artificial-intelligence-lets-bicycles-see\/embed\/#?secret=ucTfKsFbWW\" width=\"600\" height=\"338\" title=\"&#8220;Artificial Intelligence Lets Bicycles \u201cSee\u201d&#8221; &#8212; Salzburg Research Forschungsgesellschaft\" data-secret=\"ucTfKsFbWW\" 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:\/\/www.salzburgresearch.at\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/www.salzburgresearch.at\/wp-content\/uploads\/2024\/03\/Boreal-Bike-Smartes-Fahrrad-c-Boreal-Bikes.jpg","thumbnail_width":1000,"thumbnail_height":600,"description":"Bike-friendliness of a cycle path depends to a large extent on the surface quality. This allows people who use bicycles for work-related reasons or to complete daily errands and want to keep bike-commuting climate-neutral to perform their tasks faster and in a more pleasant way. Now, with the help of artificial intelligence, smart bikes are able to analyze the cycling paths\u2019 infrastructure and their surroundings. Cycling plays an important role in the mobility transition to achieve European and national climate goals. Therefore, in many places, investments are being made in the expansion of bicycle infrastructure. Outdated bike paths must be maintained and preserved. Until now, the surface quality of cycling infrastructure has been derived from vibration measurements. In the field of street surveillance, however, visual and LiDAR-based approaches are predominant, with the latter approach providing the best results. \u201cLight Detection and Ranging,\u201d or \u201cLiDAR\u201d for short, is a system for generating high-resolution 3D information using [&hellip;]"}