Article(id=1309639594035999334, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639589137052221, articleNumber=null, orderNo=null, doi=10.19822/j.cnki.1671-6329.20250190, 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=1790172011145, onlineDateStr=2026-09-23, pubDate=1770220800000, pubDateStr=2026-02-05, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790172011145, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790172011145, creator=13701087609, updateTime=1790172011145, 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=12, endPage=24, ext={EN=ArticleExt(id=1309639594258297447, articleId=1309639594035999334, tenantId=1146029695717560320, journalId=1189645257101713411, language=EN, title=The Safety Certification Challenges of AEB Under ADAS System: Perception Limitations, Verification Paradigm, and Human-Machine Collaboration, columnId=1309639589728449086, journalTitle=Automotive Digest, columnName=Special Topic on Autonomous Driving Technology, runingTitle=null, highlight=null, articleAbstract=

Autonomous Emergency Braking (AEB), as a core safety function of Advanced Driver-Assistance Systems (ADAS), faces 3 major certification challenges: perception limitations, verification complexity, and human-machine collaboration. This paper systematically analyzes the technical architecture of AEB, including multi-sensor fusion for robust environmental perception, conservative decision-making logic to ensure intervention safety, and Operational Design Domain (ODD) definition for user expectation management. In terms of certification frameworks, the study explores the dual-pillar model based on ISO 26262 Functional Safety (FS) and ISO 21448 Safety of the Intended Functionality (SOTIF), highlighting the shift from regulatory testing to scenario-library-driven virtual validation. For human-machine collaboration, it examines mechanisms for establishing calibrated driver trust through transparent interaction design, and prospects the potential of neuro-symbolic AI in enhancing interpretability and localized innovation for China's complex traffic scenarios. This research provides a systematic reference for the industrial safe deployment of AEB systems.

, authors=Kun Cheng, Zhe Li, Jintao Lu, Hanyue Mo, Ziwen Kuang, Jianwen Ye, authorsList=Kun Cheng, Zhe Li, Jintao Lu, Hanyue Mo, Ziwen Kuang, Jianwen Ye, 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=1309639594514149992, articleId=1309639594035999334, tenantId=1146029695717560320, journalId=1189645257101713411, language=CN, title=ADAS体系下AEB的安全认证挑战：感知局限、验证范式与人机协同, columnId=1309639589879444032, journalTitle=汽车文摘, columnName=自动驾驶技术专题, runingTitle=null, highlight=null, articleAbstract=

自动紧急制动（AEB）作为高级驾驶辅助系统（ADAS）的核心安全功能，其安全认证面临感知局限、验证复杂性和人机协同3大挑战。系统分析了AEB的技术架构，包括多传感器融合以提升环境感知鲁棒性、保守决策逻辑确保干预安全性，以及运行设计域（ODD）界定管理用户预期。在认证体系方面，探讨了基于ISO 26262功能安全（FS）与ISO 21448预期功能安全（SOTIF）的双支架模型，以及从法规测试向场景库驱动的虚拟验证范式转变。针对人机协同，研究了通过透明交互设计建立驾驶员校准信任的机制，并展望了神经符号AI在提升可解释性及中国本土化场景创新方面的潜力，为AEB系统产业化安全部署提供了系统性参考。

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