东风商用车有限公司等一种自动驾驶车辆的控制方法及系统专利正式生效（智能驾驶专利快讯）

DoNews2025-12-20

天眼查App显示，2025-12-19，“一种自动驾驶车辆的控制方法及系统”正式进入公布阶段。申请人为东风商用车有限公司，该项智能驾驶专利涉及自动驾驶车辆在复杂行驶环境下的实时控制与异常检测场景。据专利信息显示，通过引入循环神经网络模型预测多维驾驶数据，并结合实测值计算置信度，实现对瞬时异常的主动识别与响应，技术范式由传统‘被动滤波’升级为‘主动预测’，安全性提升达显著优化。发明人为王磊;廖欣宇;...

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/2592445148?lang=zh_CN&edition=full","thumbnail":"","is_english":false,"pubTime":"2025-12-20 12:07","share_image_url":"https://static.laohu8.com/9a95c1376e76363c1401fee7d3717173","id":"2592445148","market":"hk","top_or_hot":-1,"title":"东风商用车有限公司等一种自动驾驶车辆的控制方法及系统专利正式生效（智能驾驶专利快讯）","media":"DoNews","content":"<div>\n<p>天眼查App显示，2025-12-19，“一种自动驾驶车辆的控制方法及系统”正式进入公布阶段。申请人为东风商用车有限公司，该项智能驾驶专利涉及自动驾驶车辆在复杂行驶环境下的实时控制与异常检测场景。据专利信息显示，通过引入循环神经网络模型预测多维驾驶数据，并结合实测值计算置信度，实现对瞬时异常的主动识别与响应，技术范式由传统‘被动滤波’升级为‘主动预测’，安全性提升达显著优化。发明人为王磊;廖欣宇;...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251220120750a462710e&s=b\">网页链接</a>\n\n</div>\n","source":"tencent","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>东风商用车有限公司等一种自动驾驶车辆的控制方法及系统专利正式生效（智能驾驶专利快讯）</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东风商用车有限公司等一种自动驾驶车辆的控制方法及系统专利正式生效（智能驾驶专利快讯）\n</h2>\n\n<h4 class=\"meta\">\n\n\n2025-12-20 12:07 北京时间&nbsp;&nbsp;&nbsp;<a href=http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251220120750a462710e&s=b><strong>DoNews</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>天眼查App显示，2025-12-19，“一种自动驾驶车辆的控制方法及系统”正式进入公布阶段。申请人为东风商用车有限公司，该项智能驾驶专利涉及自动驾驶车辆在复杂行驶环境下的实时控制与异常检测场景。据专利信息显示，通过引入循环神经网络模型预测多维驾驶数据，并结合实测值计算置信度，实现对瞬时异常的主动识别与响应，技术范式由传统‘被动滤波’升级为‘主动预测’，安全性提升达显著优化。发明人为王磊;廖欣宇;...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251220120750a462710e&s=b\">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":"00489","symbol_name":"东风集团股份","start_time":0,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251220120750a462710e&s=b","article_id":"2592445148","we_media_id":null,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251220120750a462710e&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"url":"https://stock-news.laohu8.com/highlight/detail?id=2592445148","pubTimestamp":1766203623,"columns":[],"sourceInfo":{"source_id":"tencent","name":"腾讯"},"weMediaInfo":null,"summary":"天眼查App显示，2025-12-19，“一种自动驾驶车辆的控制方法及系统”正式进入公布阶段。申请人为东风商用车有限公司，该项智能驾驶专利涉及自动驾驶车辆在复杂行驶环境下的实时控制与异常检测场景。据专利信息显示，通过引入循环神经网络模型预测多维驾驶数据，并结合实测值计算置信度，实现对瞬时异常的主动识别与响应，技术范式由传统‘被动滤波’升级为‘主动预测’，安全性提升达显著优化。","collect":0,"end_time":0,"defaultTopTitle":"qq.com","property":[],"viewcount":null,"language":"zh","relate_stocks":{"00489":"东风集团股份","HK0000252160.HKD":"易方达 (香港) 中国股票股息基金A 类 (分派) 港元","BK1523":"武汉本地概念股","HK0000500386.USD":"易方达 (香港) 中国股票股息基金A 类 (累积) 美元","BK1539":"汽车股","HK0000252152.HKD":"易方达 (香港) 中国股票股息基金A 类 (累积) 港元","BK1119":"汽车制造商","DNFGY":"东风集团股份ADR"},"translate_title":"The control method and system patent of Dongfeng Commercial Vehicle Co., Ltd. and other self-driving vehicles officially came into effect (Intelligent Driving Patent News)","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"00489":0.9,"DNFGY":0.9},"content_text":"天眼查App显示，2025-12-19，“一种自动驾驶车辆的控制方法及系统”正式进入公布阶段。申请人为东风商用车有限公司，该项智能驾驶专利涉及自动驾驶车辆在复杂行驶环境下的实时控制与异常检测场景。据专利信息显示，通过引入循环神经网络模型预测多维驾驶数据，并结合实测值计算置信度，实现对瞬时异常的主动识别与响应，技术范式由传统‘被动滤波’升级为‘主动预测’，安全性提升达显著优化。发明人为王磊;廖欣宇;喻锐;汪曼;毕雅梦;王荣荣。“本申请涉及一种自动驾驶车辆的控制方法及系统，其包括：基于上一时刻车辆的多维驾驶数据的实测值，利用训练完成的循环神经网络模型输出当前时刻车辆的多维驾驶数据的预测值；获取当前时刻车辆的多维驾驶数据的实测值；基于当前时刻车辆的多维驾驶数据的实测值与当前时刻车辆的多维驾驶数据的预测值，获取置信度；基于所述置信度以及判定阈值，对车辆执行相应的控制策略。通过计算预测值与实测值的差异，并引入置信度进行动态判断，取代了现有方案依赖固定阈值的静态方式，实现对瞬时异常的实时检测，将技术范式从“被动滤波”升级为“主动预测”，根据置信度和判定阈值，控制车辆执行相应的控制策略，从而避免车辆发生碰撞。”","kind":"news","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,"symbols":[],"gpt_button":1,"need_auth":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":"4.36.2","shortVersion":"4.36.2","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/2592445148","isCrawlerRequest":true}