清华AIR团队揭示人类与智驾算法视觉注意力的本质差异

新京报02-21

新京报贝壳财经讯 2月21日，清华大学智能产业研究院（AIR）发布一项研究显示，以自动驾驶这一安全关键领域为载体，首次通过“人类眼动追踪实验+算法对比验证”的双轨设计，系统性拆解了人类与智驾算法视觉注意力的本质差异。其核心价值在于提出人类驾驶注意力的三阶段量化划分框架，并证实智驾算法视觉理解的核心缺陷是缺乏“语义显著性提取能力”，而融入人类检查阶段的语义注意力，能以经济高效的方式填补专业算法的“...

网页链接

免责声明：本文观点仅代表作者个人观点，不构成本平台的投资建议，本平台不对文章信息准确性、完整性和及时性做出任何保证，亦不对因使用或信赖文章信息引发的任何损失承担责任。

精彩评论

我们需要你的真知灼见来填补这片空白

发表看法

{"i18n":{"language":"zh_CN"},"isChannel":false,"data":{"share":"https://www.laohu8.com/m/news/2613210453?lang=zh_CN&edition=full","thumbnail":"https://media.bjnews.com.cn/cover/2026/02/21/5689319712538830189.jpeg?x-oss-process=image/resize,m_lfit,w_365","is_english":false,"pubTime":"2026-02-21 17:01","share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","id":"2613210453","market":"us","top_or_hot":-1,"title":"清华AIR团队揭示人类与智驾算法视觉注意力的本质差异","media":"新京报","content":"<div>\n<p>新京报贝壳财经讯 2月21日，清华大学智能产业研究院（AIR）发布一项研究显示，以自动驾驶这一安全关键领域为载体，首次通过“人类眼动追踪实验+算法对比验证”的双轨设计，系统性拆解了人类与智驾算法视觉注意力的本质差异。其核心价值在于提出人类驾驶注意力的三阶段量化划分框架，并证实智驾算法视觉理解的核心缺陷是缺乏“语义显著性提取能力”，而融入人类检查阶段的语义注意力，能以经济高效的方式填补专业算法的“...</p>\n\n<a href=\"https://www.bjnews.com.cn/detail/1771663818129560.html\">网页链接</a>\n\n</div>\n","source":"highlight_bjnews","html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>清华AIR团队揭示人类与智驾算法视觉注意力的本质差异</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n清华AIR团队揭示人类与智驾算法视觉注意力的本质差异\n</h2>\n\n<h4 class=\"meta\">\n\n\n2026-02-21 17:01 北京时间&nbsp;&nbsp;&nbsp;<a href=https://www.bjnews.com.cn/detail/1771663818129560.html><strong>新京报</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>新京报贝壳财经讯 2月21日，清华大学智能产业研究院（AIR）发布一项研究显示，以自动驾驶这一安全关键领域为载体，首次通过“人类眼动追踪实验+算法对比验证”的双轨设计，系统性拆解了人类与智驾算法视觉注意力的本质差异。其核心价值在于提出人类驾驶注意力的三阶段量化划分框架，并证实智驾算法视觉理解的核心缺陷是缺乏“语义显著性提取能力”，而融入人类检查阶段的语义注意力，能以经济高效的方式填补专业算法的“...</p>\n\n<a href=\"https://www.bjnews.com.cn/detail/1771663818129560.html\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"IE00B66KJ199.SGD","symbol_name":"LEGG MASON ROYCE US SMALL CAP OPPORTUNITY  \" A\" (SGD) ACC","start_time":0,"source_url":"https://www.bjnews.com.cn/detail/1771663818129560.html","article_id":"2613210453","we_media_id":null,"thumbnails":["https://media.bjnews.com.cn/cover/2026/02/21/5689319712538830189.jpeg?x-oss-process=image/resize,m_lfit,w_365"],"rights":{"source":"highlight_bjnews","url":"https://www.bjnews.com.cn/detail/1771663818129560.html","rn_cache_url":null,"customStyle":"handleCustomStyle(customStyle, ThemeStyle, getFont(fontSize))","selectors":"#main .nleft","filters":".ntit, .attitude","directOrigin":true},"url":"https://stock-news.laohu8.com/highlight/detail?id=2613210453","pubTimestamp":1771664460,"columns":[],"sourceInfo":{"source_id":"highlight_bjnews","name":"新京报"},"weMediaInfo":null,"summary":"新京报贝壳财经讯 2月21日，清华大学智能产业研究院 发布一项研究显示，以自动驾驶这一安全关键领域为载体，首次通过“人类眼动追踪实验+算法对比验证”的双轨设计，系统性拆解了人类与智驾算法视觉注意力的本质差异。","collect":0,"end_time":0,"defaultTopTitle":"bjnews.com.cn","property":[],"viewcount":null,"language":"zh","relate_stocks":{"IE00B66KJ199.SGD":"LEGG MASON ROYCE US SMALL CAP OPPORTUNITY  \" A\" (SGD) ACC","BK4572":"航空租赁","BK4187":"航天航空与国防","IE0031619046.USD":"LEGG MASON ROYCE US SMALL CAP OPPORTUNITY \"A\" (USD) INC","IE00B7SZL793.SGD":"Legg Mason Royce - US Small Cap Opportunity A Acc SGD-H","IE00B19Z4B17.USD":"LEGG MASON ROYCE US SMALL CAP OPPORTUNITY \"A\" (USD) ACC","AIR":"AAR公司"},"translate_title":"Tsinghua AIR team reveals the essential difference in visual attention between humans and intelligent driving algorithms","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"AIR":1.5},"content_text":"新京报贝壳财经讯 2月21日，清华大学智能产业研究院（AIR）发布一项研究显示，以自动驾驶这一安全关键领域为载体，首次通过“人类眼动追踪实验+算法对比验证”的双轨设计，系统性拆解了人类与智驾算法视觉注意力的本质差异。其核心价值在于提出人类驾驶注意力的三阶段量化划分框架，并证实智驾算法视觉理解的核心缺陷是缺乏“语义显著性提取能力”，而融入人类检查阶段的语义注意力，能以经济高效的方式填补专业算法的“语义鸿沟”与大模型的“接地鸿沟”，无需依赖大规模预训练。研究团队通过招募专家与新手司机完成危险检测、可用性识别、异常检测三类任务，结合眼动数据划分注意力阶段，再将不同阶段注意力融入AxANet、UniAD等专业算法及DriveLM等视觉语言模型（VLM），最终揭示人类与智驾算法注意力的核心差异并非“空间定位”，而是“语义理解”。人类能通过自上而下的认知赋予场景特征语义优先级，而智驾算法难以自主习得这一能力。该发现为自动驾驶算法的性能提升提供了非规模化的新路径，对资源受限的车载实时系统部署具有重要实践意义。编辑 姜樊校对 张彦君","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":1,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":false,"tenantId":"TBCN","deviceId":"web-server-community-laohu8-v3","version":"4.42.0","shortVersion":"4.42.0","platform":"web","vendor":"web","appName":"laohu8","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2613210453","isCrawlerRequest":true}