<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LiDAR | Reon Tabata</title><link>https://reopeo.github.io/tags/lidar/</link><atom:link href="https://reopeo.github.io/tags/lidar/index.xml" rel="self" type="application/rss+xml"/><description>LiDAR</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://reopeo.github.io/media/icon_hu_eee4a95885829ab2.png</url><title>LiDAR</title><link>https://reopeo.github.io/tags/lidar/</link></image><item><title>Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling</title><link>https://reopeo.github.io/publications/image-pointcloud-registration/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://reopeo.github.io/publications/image-pointcloud-registration/</guid><description>&lt;p&gt;This manuscript proposes converting sparse LiDAR point clouds into dense
point-cloud images with a generative model, enabling image-domain feature
extraction and matching methods to be applied to image-to-point-cloud
registration. The manuscript was under review when the source document was
prepared in May 2026.&lt;/p&gt;</description></item><item><title>Slope Detection and Mobile Robot Guidance Using 3D LiDAR and an RGB Camera</title><link>https://reopeo.github.io/publications/slope-detection/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://reopeo.github.io/publications/slope-detection/</guid><description>&lt;p&gt;This work combines 3D LiDAR and an RGB camera to detect the entrance of a
slope from a distance, guide a wheelchair-type mobile robot to the entrance,
and execute the climb.&lt;/p&gt;</description></item><item><title>Autonomous Slope Detection and Guidance</title><link>https://reopeo.github.io/projects/slope-guidance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://reopeo.github.io/projects/slope-guidance/</guid><description>&lt;p&gt;This system detects a slope entrance from a distance, navigates a
wheelchair-type robot to it, and performs the climb. It was developed and
validated on a real robot as an undergraduate research project.&lt;/p&gt;</description></item><item><title>GhostScanner</title><link>https://reopeo.github.io/projects/ghost-scanner/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://reopeo.github.io/projects/ghost-scanner/</guid><description>&lt;p&gt;Developed during an internship at AIST, GhostScanner turns LiDAR-based 3D
localization into an interactive augmented-reality game. The project was
designed to communicate localization technology to non-specialists through a
hands-on demonstration.&lt;/p&gt;</description></item></channel></rss>