<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Drones on Huan Ning | Geospatial AI and Autonomous GIS</title><link>https://www.huanning.me/tags/drones/</link><description>Recent content in Drones on Huan Ning | Geospatial AI and Autonomous GIS</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 25 Oct 2026 23:33:00 -0400</lastBuildDate><atom:link href="https://www.huanning.me/tags/drones/index.xml" rel="self" type="application/rss+xml"/><item><title>A Coding Agent for Computer-Vision Algorithm Development: Removing the Jello Effect from Drone Images</title><link>https://www.huanning.me/project/jello-correction/</link><pubDate>Sun, 25 Oct 2026 23:33:00 -0400</pubDate><guid>https://www.huanning.me/project/jello-correction/</guid><description>Correcting rolling-shutter &amp;ldquo;jello&amp;rdquo; distortion in drone images with an AI coding agent, and lessons on where the agent helps and where it still needs a human driver.</description></item><item><title>AI in the Shipping Industry: A Practical Application of Drones and Vision Language Models</title><link>https://www.huanning.me/project/ship-draft-drones/</link><pubDate>Sun, 25 Oct 2026 16:35:22 -0400</pubDate><guid>https://www.huanning.me/project/ship-draft-drones/</guid><description>Drones photograph a cargo ship&amp;rsquo;s draft marks and a vision language model reads them, cutting the inspection from more than an hour to about 15 minutes.</description></item></channel></rss>