
{"id":13492,"date":"2026-10-17T00:52:57","date_gmt":"2026-10-16T16:52:57","guid":{"rendered":"https:\/\/infernews.com\/blog\/simvta\/"},"modified":"2026-10-17T00:54:11","modified_gmt":"2026-10-16T16:54:11","slug":"simvta","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/simvta\/","title":{"rendered":"SimVTA \u70ba\u81ea\u52d5\u99d5\u99db\u88dc\u4e0a\u66ff\u4ee3\u8def\u7dda\u7684\u8996\u89ba\u8a13\u7df4"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/10\/SimVTA.jpg\" alt=\"From logged futures to candidate-matched supervision\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u81ea\u52d5\u99d5\u99db\u6a21\u578b\u9700\u8981\u5224\u65b7\u8f49\u7dda\u3001\u76f4\u884c\u7b49\u66ff\u4ee3\u8def\u7dda\uff0c\u4f46\u884c\u8eca\u7d00\u9304\u901a\u5e38\u53ea\u4fdd\u7559\u7576\u6642\u771f\u6b63\u63a1\u53d6\u7684\u8def\u5f91\uff0c\u5176\u4ed6\u9078\u64c7\u7f3a\u4e4f\u5c0d\u61c9\u5f71\u50cf\u3002SimVTA \u5c6c\u65bc driving world action model \u7684 post-training framework\uff0c\u8655\u7406\u7684\u6b63\u662f\u8ecc\u8de1\u898f\u5283\u8207\u672a\u4f86\u8996\u89ba\u76e3\u7763\u4e0d\u5339\u914d\u7684\u554f\u984c\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u9805\u76ee\u6703\u5728\u4ee5 3D Gaussian Splatting\uff083DGS\uff09\u91cd\u5efa\u7684\u771f\u5be6\u5834\u666f\u4e2d\uff0c\u70ba\u5019\u9078\u8ecc\u8de1\u6e32\u67d3\u76f8\u914d\u7684\u672a\u4f86\u5f71\u7247\uff0c\u518d\u4ee5 Group Relative Policy Optimization\uff08GRPO\uff09\u512a\u5316\u8ecc\u8de1\uff0c\u4e26\u52a0\u5165 flow-matching video loss \u66f4\u65b0\u5171\u4eab\u8868\u793a\u3002\u9ad8\u56de\u5831\u5019\u9078\u4e4b\u4e2d\uff0c\u7cfb\u7d71\u6703\u512a\u5148\u6311\u9078\u8aa4\u5dee\u8f03\u5927\u7684\u672a\u4f86\uff0c\u6e1b\u5c11\u6709\u9650\u6e32\u67d3\u8cc7\u6e90\u88ab\u4f4e\u50f9\u503c\u6a23\u672c\u6d88\u8017\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u76f8\u8f03\u53ea\u4f9d\u8cf4 logged trajectories \u7684\u8a13\u7df4\u65b9\u5f0f\uff0cSimVTA \u88dc\u4e0a\u4e86\u66ff\u4ee3\u884c\u52d5\u7684\u8996\u89ba\u8a0a\u865f\uff1b\u4ee3\u50f9\u662f\u9700\u8981 3D \u5834\u666f\u91cd\u5efa\u8207\u6a21\u64ec\u6e32\u67d3\uff0c\u8a13\u7df4\u6d41\u7a0b\u8f03\u8907\u96dc\u3002\u63a8\u7406\u968e\u6bb5\u5247\u76f4\u63a5\u9810\u6e2c\u8ecc\u8de1\uff0c\u4e0d\u9700\u518d\u6b21\u547c\u53eb\u6a21\u64ec\u5668\uff0c\u8f03\u9069\u5408\u7d0d\u5165\u81ea\u52d5\u99d5\u99db\u898f\u5283\u6d41\u7a0b\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>NAVSIM v1\uff1aPDMS \u7531\u521d\u59cb\u5316\u6a21\u578b\u7684 86.2 \u63d0\u5347\u81f3 91.3<\/li>\n\n\n\n<li>NAVSIM v2\uff1a\u53d6\u5f97 88.2 EPDMS<\/li>\n\n\n\n<li>HUGSIM \u9589\u74b0\u6e2c\u8a66\uff1a\u5e73\u5747 HD-Score \u70ba 38.8<\/li>\n\n\n\n<li>\u6d88\u878d\u7d50\u679c\u652f\u6301\u5171\u4eab\u8868\u793a\u66f4\u65b0\u53ca\u9ad8\u8aa4\u5dee\u6a23\u672c\u512a\u5148\u7b56\u7565<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u7814\u7a76\u5718\u968a\u5305\u62ec <mark>OpenDriveLab at HKU<\/mark>\u3001Shanghai Innovation Institute\u3001Li Auto\u3001Tongji University \u8207 Tsinghua University\u3002\u9019\u500b\u9805\u76ee\u8f03\u9069\u5408\u7814\u7a76\u81ea\u52d5\u99d5\u99db\u3001world action model \u6216\u6a21\u64ec\u8a13\u7df4\u7684\u5718\u968a\uff1b\u76ee\u524d\u5132\u5b58\u5eab\u4ecd\u6a19\u793a code \u548c checkpoints \u5c1a\u5f85\u767c\u5e03\uff0c\u56e0\u6b64\u672a\u80fd\u7576\u4f5c\u5373\u88dd\u5373\u7528\u7684\u5de5\u5177\u6e2c\u8a66\uff0c\u91cd\u73fe\u7d50\u679c\u4ecd\u9700\u7b49\u5f85\u76f8\u95dc\u8cc7\u6e90\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/opendrivelab.com\/SimVTA\/\" rel=\"noopener noreferrer\"><strong>\u9805\u76ee\u4e3b\u9801<\/strong><\/a> \u00b7 <a href=\"https:\/\/github.com\/OpenDriveLab\/SimVTA\" rel=\"noopener noreferrer\"><strong>GitHub<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>SimVTA \u7528\u6a21\u64ec\u5668\u751f\u6210\u4e0d\u540c\u99d5\u99db\u8def\u7dda\u7684\u672a\u4f86\u756b\u9762\uff0c\u8b93\u6a21\u578b\u4e0d\u53ea\u5b78\u7fd2\u7d00\u9304\u4e2d\u7684\u55ae\u4e00\u8def\u5f91\u3002<\/p>\n","protected":false},"author":8,"featured_media":13491,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"wpai_generated_summary":"","wpai_meta_description":"","footnotes":""},"categories":[133,169,196,162,76,127,31,30,210,197,163,38,132,150,215],"tags":[],"class_list":["post-13492","post","type-post","status-publish","format-standard","hentry","category-133","category-169","category-196","category-ai-productions","category-76","category-127","category-video","category-image","category-worldactionmodel","category-framework","category-163","category-38","category-3d","category-150","category-self-driving"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/13492","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=13492"}],"version-history":[{"count":1,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/13492\/revisions"}],"predecessor-version":[{"id":13493,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/13492\/revisions\/13493"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/13491"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=13492"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=13492"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=13492"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}