智能网联汽车预期功能安全关键挑战与中国解决方案

李骏; 邵文博; 王红

doi:10.1016/j.eng.2023.09.008

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工程（英文） ›› 2023, Vol. 31 ›› Issue (12) : 27-30. DOI: 10.1016/j.eng.2023.09.008

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智能网联汽车预期功能安全关键挑战与中国解决方案

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Key Challenges and Chinese Solutions for SOTIF in Intelligent Connected Vehicles

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摘要

智能网联汽车（ICV）是全球汽车工业转型和发展的关键战略焦点，对提升驾驶安全、改善交通效率和实现低碳交通具有重要意义。然而，在ICV的发展中，由于系统复杂性提升，以及动态和挑战性的场景层出不穷，预期功能安全（SOTIF）问题已成为ICV研究和商业化面临的最关键障碍之一。本研究从全球ICV相关事故出发，强调了SOTIF问题的紧迫性，并总结了SOTIF发展面临的关键挑战，包括ICV的长尾场景问题、系统复杂性和多样性，以及人工智能算法的不透明性和不确定性。为解决这些挑战，提出了包含离线安全设计与开发、车载安全监测与防护以及主动持续学习与成长的覆盖ICV全生命周期的中国解决方案，为推动ICV的安全产业化提供重要指导建议。

关键词

智能网联汽车 / 预期功能安全（SOTIF） / 离线开发 / 车载防护 / 持续学习 /

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李骏, 邵文博, 王红. 智能网联汽车预期功能安全关键挑战与中国解决方案. Engineering. 2023, 31(12): 27-30 https://doi.org/10.1016/j.eng.2023.09.008

参考文献

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