<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Localization | SAW Lab</title><link>https://nudt-sawlab.github.io/category/localization/</link><atom:link href="https://nudt-sawlab.github.io/category/localization/index.xml" rel="self" type="application/rss+xml"/><description>Localization</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Fri, 19 Jun 2026 00:00:00 +0000</lastBuildDate><image><url>https://nudt-sawlab.github.io/media/icon_hu5766853815090235279.png</url><title>Localization</title><link>https://nudt-sawlab.github.io/category/localization/</link></image><item><title>AirZoo: A Unified Large-Scale Dataset for Grounding Aerial Geometric 3D Vision</title><link>https://nudt-sawlab.github.io/publication/airzoo_2026/</link><pubDate>Wed, 29 Apr 2026 00:00:00 +0000</pubDate><guid>https://nudt-sawlab.github.io/publication/airzoo_2026/</guid><description/></item><item><title>AirZoo accepted by ECCV 2026.</title><link>https://nudt-sawlab.github.io/news/airzoo-accepted-by-eccv-2026./</link><pubDate>Fri, 19 Jun 2026 00:00:00 +0000</pubDate><guid>https://nudt-sawlab.github.io/news/airzoo-accepted-by-eccv-2026./</guid><description>&lt;p>Full paper title: &lt;em>AirZoo: A Unified Large-Scale Dataset for Grounding Aerial Geometric 3D Vision&lt;/em>.&lt;/p></description></item></channel></rss>