1.02025 Group 13 Project (P13)https://mscvprojects.ri.cmu.edu/2025team6rich600338<blockquote class="wp-embedded-content" data-secret="J5Hh0hqFFP"><a href="https://mscvprojects.ri.cmu.edu/2025team6/experiments/">Experiments</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2025team6/experiments/embed/#?secret=J5Hh0hqFFP" width="600" height="338" title="“Experiments” — 2025 Group 13 Project (P13)" data-secret="J5Hh0hqFFP" 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/2025team6/wp-includes/js/wp-embed.min.js </script> Datasets Figure 1. BEV Rendered Map Metrics We evaluate model performance using three standard trajectory forecasting metrics: minADE and minFDE. These metrics assess the spatial accuracy of predicted agent trajectories compared to the ground truth, based on the best of multiple rollout predictions. Qualitative Results We show some visualization of our prediction results below. The […]https://mscvprojects.ri.cmu.edu/2025team6/wp-content/uploads/sites/129/2025/12/nuscenes_logo.png349113