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IEEE Draft Standard for Assumptions for Models in Safety-Related Automated Vehicle Behavior IEEE安全相关自动车辆行为模型假设标准草案
发布日期: 2022-04-22
本标准描述了在作为自动驾驶系统(ADS)一部分的安全相关模型开发过程中,道路车辆在可预见场景中使用的最低合理假设集。该标准包括考虑道路规则及其区域和/或时间依赖性。为了保证ADS的安全性,本标准不一定详尽无遗。根据IEEE SA操作手册专利(6.3)和结构(6.4)章节,本标准的信息部分确定了合适模型的属性,包括平衡ADS假设和动态驾驶任务中使用的道路规则的最佳实践。信息部分还确定了可用于验证实施是否符合可预见场景中使用的最低合理假设集的方法,并定义了符合标准的示例模型。 超出范围的是本标准中定义的假设和属性影响的ADS中的算法或技术。
This standard describes the minimum set of reasonable assumptions used in foreseeable scenarios to be considered for road vehicles in the development of safety-related models that are part of automated driving systems (ADS). The standard includes consideration of rules of the road and their regional and/or temporal dependencies. This standard is not necessarily exhaustive to guarantee the safety of the ADS. In accordance with the IEEE SA Operations Manual Patent (6.3) and Structure (6.4) Sections, the Informative portion of the standard identifies attributes of suitable models including best practices for balancing ADS assumptions with rules of the road used in the context of the Dynamic Driving Task. The Informative portion also identifies methods that may be used to verify whether an implementation conforms to the minimum set of required reasonable assumptions used in foreseeable scenarios, and defines an example model conformant with the standard. Out of scope are the algorithms or technologies in an ADS that the assumptions and attributes defined in this standard impact.
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