<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jaehyun Park | AIM Lab</title><link>https://44cf2a44.aimlab-site.pages.dev/author/jaehyun-park/</link><atom:link href="https://44cf2a44.aimlab-site.pages.dev/author/jaehyun-park/index.xml" rel="self" type="application/rss+xml"/><description>Jaehyun Park</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>ko</language><copyright>© 2026 AIM Lab @ CNU</copyright><lastBuildDate>Wed, 01 Feb 2023 00:00:00 +0000</lastBuildDate><image><url>https://44cf2a44.aimlab-site.pages.dev/media/logo_huc16f2118f542bcc743bf48df77f289d2_60706_300x300_fit_lanczos_3.png</url><title>Jaehyun Park</title><link>https://44cf2a44.aimlab-site.pages.dev/author/jaehyun-park/</link></image><item><title>PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network</title><link>https://44cf2a44.aimlab-site.pages.dev/publication/park-2023-pcscnet/</link><pubDate>Wed, 01 Feb 2023 00:00:00 +0000</pubDate><guid>https://44cf2a44.aimlab-site.pages.dev/publication/park-2023-pcscnet/</guid><description>&lt;p>&lt;strong>IF: 8.656, Top 8.15%&lt;/strong>&lt;/p></description></item><item><title>Semantic Point Cloud Mapping of LiDAR Based on Probabilistic Uncertainty Modeling for Autonomous Driving</title><link>https://44cf2a44.aimlab-site.pages.dev/publication/cho-2020-semantic-point-cloud/</link><pubDate>Thu, 01 Oct 2020 00:00:00 +0000</pubDate><guid>https://44cf2a44.aimlab-site.pages.dev/publication/cho-2020-semantic-point-cloud/</guid><description/></item></channel></rss>