系统梳理自动驾驶功能安全研究,揭示关键挑战与未来方向。
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems
- 按主题归纳51篇论文的SOTIF研究方法与成果
- 识别出感知、算法、系统设计等关键局限性
- 适合自动驾驶安全研究人员与标准制定者参考
随着自动化驾驶系统(ADS)的快速发展与部署,确保其安全性已成为汽车行业的重点。自动化驾驶依赖于对车辆内外环境的感知,通过感知传感器、算法及电电子(E/E)系统实现情境意识与响应。ISO 21448标准定义了功能安全(SOTIF),旨在确保ADS在其预期功能范围内运行时的安全性。SOTIF关注由规格不足、性能缺陷或可预见的功能滥用引发的潜在危害。然而,受限于关于SOTIF的系统性文献较少,本研究基于PRISMA指南开展了一项系统文献综述(SLR),旨在系统收集并分析现有SOTIF相关研究。主要贡献包括:(i) 将51篇2018至2023年间发表的论文研究成果按主题整合归纳;(ii) 提炼并分类已知局限性。同时识别出研究空白,并提出未来研究方向。
原文摘要 · Abstract (English)
In the automobile industry, ensuring the safety of automated vehicles equipped with the Automated Driving System (ADS) is becoming a significant focus due to the increasing development and deployment of automated driving. Automated driving depends on sensing both the external and internal environments of a vehicle, utilizing perception sensors and algorithms, and Electrical/Electronic (E/E) systems for situational awareness and response. ISO 21448 is the standard for Safety of the Intended Functionality (SOTIF) that aims to ensure that the ADS operate safely within their intended functionality. SOTIF focuses on preventing or mitigating potential hazards that may arise from the limitations or failures of the ADS, including hazards due to insufficiencies of specification, or performance insufficiencies, as well as foreseeable misuse of the intended functionality. However, the challenge lies in ensuring the safety of vehicles despite the limited availability of extensive and systematic literature on SOTIF. To address this challenge, a Systematic Literature Review (SLR) on SOTIF for the ADS is performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The objective is to methodically gather and analyze the existing literature on SOTIF. The major contributions of this paper are: (i) presenting a summary of the literature by synthesizing and organizing the collective findings, methodologies, and insights into distinct thematic groups, and (ii) summarizing and categorizing the acknowledged limitations based on data extracted from an SLR of 51 research papers published between 2018 and 2023. Furthermore, research gaps are determined, and future research directions are proposed.
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