Safety in the automotive domain is a well-known topic, which has been in constant development in the past years. The complexity of new systems that add more advanced components in each function has opened new trends that have to be covered from the safety perspective. In this case, not only specifications and requirements have to be covered but also scenarios, which cover all relevant information of the vehicle environment. Many of them are not yet still sufficient defined or considered. In this context, Safety of the Intended Functionality (SOTIF) appears to ensure the system when it might fail because of technological shortcomings or misuses by users. An identification of the plausibly insufficiencies of ADAS/ADS functions has to be done to discover the potential triggering conditions that can lead to these unknown scenarios, which might effect a hazardous behaviour. The main goal of this publication is the definition of an use case to identify these triggering conditions that have been applied to the collision avoidance function implemented in our self-developed mobile Hardware-in-Loop (HiL) platform.

翻译：汽车安全是业内公认的重要课题，近年来发展持续加速。随着新系统在各项功能中引入更先进的组件，其复杂性催生了需从安全角度加以覆盖的新趋势。在此背景下，不仅需要涵盖规格与需求，还需考虑包含车辆环境所有相关信息的场景。当前许多场景尚未得到充分定义或考量。为此，预期功能安全（SOTIF）旨在确保系统在因技术局限或用户误用而发生故障时的安全性。必须识别ADAS/ADS功能的潜在不足，以发现可能引发未知场景、进而导致危险行为的触发条件。本文主要目标是定义一个用于识别这些触发条件的用例，并将其应用于我们自主研发的移动式硬件在环（HiL）平台所实现的碰撞规避功能中。