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<p>With the rapid development of intelligent electric vehicles (IEVs), an increasing number of algorithms are being deployed on software platforms, progressively leading to the formation of automotive operating systems (OS). This paper introduces firstly the status of automotive OS and analyzes their development trends. As an emerging technology, automotive OS is a safety-critical system that plays a vital role in driving safety. To address the challenges associated with ensuring the safety of automotive OS, this paper proposes systematically safety measures across multiple perspectives, including software architecture, time protection, memory protection, software monitoring, and communication. Furthermore, a system safety mode is proposed from an engineering implementation perspective. Finally, experimental results validate the feasibility of deploying multiple communication protocols within automotive OS, effectively addressing the challenges posed by big data and high-concurrency demands in IEVs.</p>

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Safety measures in automotive operating system: a comprehensive review of trends and defense frameworks

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月31日

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  • Zhenpeng Li,
  • Jingwei Bian,
  • Wei Li,
  • Lihua Zhang

摘要

With the rapid development of intelligent electric vehicles (IEVs), an increasing number of algorithms are being deployed on software platforms, progressively leading to the formation of automotive operating systems (OS). This paper introduces firstly the status of automotive OS and analyzes their development trends. As an emerging technology, automotive OS is a safety-critical system that plays a vital role in driving safety. To address the challenges associated with ensuring the safety of automotive OS, this paper proposes systematically safety measures across multiple perspectives, including software architecture, time protection, memory protection, software monitoring, and communication. Furthermore, a system safety mode is proposed from an engineering implementation perspective. Finally, experimental results validate the feasibility of deploying multiple communication protocols within automotive OS, effectively addressing the challenges posed by big data and high-concurrency demands in IEVs.