<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>🤖 范式 on Elon&#39;s AD Insight</title>
    <link>https://auto-driving-blog.vercel.app/tags/-%E8%8C%83%E5%BC%8F/</link>
    <description>Recent content in 🤖 范式 on Elon&#39;s AD Insight</description>
    <image>
      <title>Elon&#39;s AD Insight</title>
      <url>https://auto-driving-blog.vercel.app/images/share.png</url>
      <link>https://auto-driving-blog.vercel.app/images/share.png</link>
    </image>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Sun, 19 Jul 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://auto-driving-blog.vercel.app/tags/-%E8%8C%83%E5%BC%8F/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>知识点拆解｜Scoring-based 规划范式详解</title>
      <link>https://auto-driving-blog.vercel.app/posts/knowledge/scoring-based%E8%A7%84%E5%88%92%E8%8C%83%E5%BC%8F%E8%AF%A6%E8%A7%A3/</link>
      <pubDate>Sun, 19 Jul 2026 00:00:00 +0000</pubDate>
      <guid>https://auto-driving-blog.vercel.app/posts/knowledge/scoring-based%E8%A7%84%E5%88%92%E8%8C%83%E5%BC%8F%E8%AF%A6%E8%A7%A3/</guid>
      <description>Scoring-based 规划范式是当前端到端自动驾驶规划的主流方法论之一，其核心思想是：先生成多个候选轨迹，再通过学习一个评分网络选出最优轨迹。本文系统性梳理从 BC 回归到多模态评分、扩散采样到强化学习的方法演进，详细解析 Vocabulary-based、动态生成、扩散三类核心范式，并深入 ScoreNet 的设计哲学与关键论文脉络。</description>
    </item>
  </channel>
</rss>
