<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Autonomous-Driving on Noureddine RAMDI</title><link>https://ramdi.fr/tags/autonomous-driving/</link><description>Recent content in Autonomous-Driving on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/autonomous-driving/index.xml" rel="self" type="application/rss+xml"/><item><title>Autoware Vision Pilot: An open-source stack exploring multiple end-to-end AI approaches for autonomous driving</title><link>https://ramdi.fr/github-stars/autoware-vision-pilot-an-open-source-stack-exploring-multiple-end-to-end-ai-approaches-for-autonomous-driving/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/autoware-vision-pilot-an-open-source-stack-exploring-multiple-end-to-end-ai-approaches-for-autonomous-driving/</guid><description>Autoware Vision Pilot is an open-source autonomous driving stack implementing three end-to-end AI paradigms without relying on HD maps. It targets ADAS to full autonomy progression.</description></item><item><title>SimScale: a scalable sim-real co-training pipeline for autonomous driving planners</title><link>https://ramdi.fr/github-stars/simscale-a-scalable-sim-real-co-training-pipeline-for-autonomous-driving-planners/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/simscale-a-scalable-sim-real-co-training-pipeline-for-autonomous-driving-planners/</guid><description>SimScale provides a sim-real co-training pipeline for autonomous driving planners, combining synthetic simulation data with real-world data to improve robustness and generalization across multiple planner types.</description></item></channel></rss>