计算机科学
可操作性
一致性(知识库)
过程(计算)
素描
功能(生物学)
软件工程
系统工程
人工智能
工程类
程序设计语言
算法
进化生物学
生物
作者
Christian Neurohr,Lukas Westhofen,Tabea Henning,Thies de Graaff,Eike Möhlmann,Eckard Böde
标识
DOI:10.1109/iv47402.2020.9304823
摘要
The homologation of automated vehicles, being safety-critical complex systems, requires sound evidence for their safe operability. Traditionally, verification and validation activities are guided by a combination of ISO 26262 and ISO/PAS 21448, together with distance-based testing. Starting at SAE Level 3, such approaches become infeasible, resulting in the need for novel methods. Scenario-based testing is regarded as a possible enabler for verification and validation of automated vehicles. Its effectiveness, however, rests on the consistency and substantiality of the arguments used in each step of the process. In this work, we sketch a generic framework around scenario-based testing and analyze contemporary approaches to the individual steps. For each step, we describe its function, discuss proposed approaches and solutions, and identify the underlying arguments, principles and assumptions. As a result, we present a list of fundamental considerations for which evidences need to be gathered in order for scenario-based testing to support the homologation of automated vehicles.
科研通智能强力驱动
Strongly Powered by AbleSci AI