Abstract Intelligent vehicle is an inevitable trend in urban transportation development. Whether for driver assistance systems or advanced driverless systems, safety issues are one of the cores of these systems. This paper proposes a scene safety evaluation method based on binocular camera. By proposing a comprehensive safety evaluation model, the uncertainty of the scene can be represented with a single value, which can be expressed as a quantitative evaluation of the safety of intended functionality (SOTIF). It provides real-time safety monitoring and protection for the driving process of drivers and occupants by the human–computer interaction. Based on the calculation results, different monitoring methods can be adopted for different levels of autonomous driving to further improve the safety of autonomous driving.

中文翻译：

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一种基于双目摄像头的场景综合安全评价方法

摘要 智能汽车是城市交通发展的必然趋势。无论是驾驶辅助系统还是先进的无人驾驶系统，安全问题都是这些系统的核心之一。提出一种基于双目摄像头的场景安全评价方法。通过提出综合安全评估模型，场景的不确定性可以用单个值来表示，可以表示为对预期功能安全性的定量评估（SOTIF）。它通过人机交互为驾驶员和乘员的驾驶过程提供实时安全监控和保护。根据计算结果，可以针对不同级别的自动驾驶采取不同的监控方式，进一步提高自动驾驶的安全性。