Article(id=1309639599467623062, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639589137052221, articleNumber=null, orderNo=null, doi=10.19822/j.cnki.1671-6329.20250185, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790172012440, onlineDateStr=2026-09-23, pubDate=1770220800000, pubDateStr=2026-02-05, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790172012440, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790172012440, creator=13701087609, updateTime=1790172012440, updator=13701087609, issue=Issue{id=1309639589137052221, tenantId=1146029695717560320, journalId=1189645257101713411, year='2026', volume='', issue='2', pageStart='1', pageEnd='62', issueExtLink='null', onlineDate='null', pubDate='1770220800000', pubDateStr='2026-02-05', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790172009977, creator='13701087609', updateTime=1790233873475, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309899063529669032, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639589137052221, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309899063529669033, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639589137052221, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1, endPage=11, ext={EN=ArticleExt(id=1309639601258590871, articleId=1309639599467623062, tenantId=1146029695717560320, journalId=1189645257101713411, language=EN, title=A Multidimensional Perspective on Autonomous Vehicle Safety: Key Challenges and a Collaborative Governance Framework, columnId=1309639589728449086, journalTitle=Automotive Digest, columnName=Special Topic on Autonomous Driving Technology, runingTitle=null, highlight=null, articleAbstract=

To systematically review the safety risks of autonomous driving and promote its safe market-oriented application, this paper summarizes and analyzes the characteristics of current autonomous vehicle accidents and relevant research from selected developed countries, identifying the core factors and deep-seated challenges affecting the safety of autoromous driving. The study reveals that the safety landscape encompasses 4 key domains: data security, technological safety, transfer of control between human and mahine, and risk control. Furthermore, future development faces profound challenges including the algorithm "long-tail problem", a crisis of trust in human-machine interaction, data security vulnerabilities, and regulatory lag. The research proposes that coordinated advancement across 4 dimensions—technological integration, regulatory framework construction, human-centered design, and data protection—is essential to establish a collaborative governance framework. This provides a systematic reference for the safe development and application of autonomous driving technologies.

, authors=Chun Chen^{1, 2}, Xingfeng Li², Shuhong Zhou², authorsList=Chun Chen, Xingfeng Li, Shuhong Zhou, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1309639601518637720, articleId=1309639599467623062, tenantId=1146029695717560320, journalId=1189645257101713411, language=CN, title=自动驾驶安全的多维透视：关键挑战与协同治理框架, columnId=1309639589879444032, journalTitle=汽车文摘, columnName=自动驾驶技术专题, runingTitle=null, highlight=null, articleAbstract=

为了系统梳理自动驾驶安全风险并推动其安全市场化应用，通过总结分析现有自动驾驶交通事故特性及部分发达国家的相关研究，梳理了影响自动驾驶安全的核心要素与深层挑战。研究表明，自动驾驶安全要素涵盖数据安全、技术安全、人机控制权转移及风险控制4大领域；未来发展面临算法“长尾问题”、人机交互信任危机、数据安全漏洞及法规滞后等深层挑战。研究指出，需从技术融合、法规构建、人本设计、数据防护4个维度协同推进，构建协同治理框架，为自动驾驶的安全发展与应用提供系统性参考。

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