<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chenming Wu | RCL Group</title><link>https://rcl-group.github.io/authors/chenming-wu/</link><atom:link href="https://rcl-group.github.io/authors/chenming-wu/index.xml" rel="self" type="application/rss+xml"/><description>Chenming Wu</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 27 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://rcl-group.github.io/media/icon_hu_c9b5ec8305c0ee34.png</url><title>Chenming Wu</title><link>https://rcl-group.github.io/authors/chenming-wu/</link></image><item><title>Gaussian-LIC Accepted at ICRA 2025</title><link>https://rcl-group.github.io/blog/2025-icra-gaussian-lic/</link><pubDate>Mon, 27 Jan 2025 00:00:00 +0000</pubDate><guid>https://rcl-group.github.io/blog/2025-icra-gaussian-lic/</guid><description>&lt;p&gt;Our work
has been accepted by ICRA 2025! Gaussian-LIC is a real-time photo-realistic SLAM system that marries Gaussian Splatting with LiDAR-Inertial-Camera fusion for robust pose estimation and photo-realistic online mapping in general unbounded scenarios. Implemented purely in C++ and CUDA with carefully designed acceleration strategies, our system outperforms existing methods while maintaining real-time capability. Code is available on
.&lt;/p&gt;</description></item></channel></rss>