Autonomous vehicles are being deployed with a spectrum of capability, extending from driver assistance features for the highway in personal vehicles (SAE Level 2+) to fully autonomous fleet ride sharing services operating in complex city environments (SAE Level 4+). This spectrum of autonomy often operates in different physical environments with different degrees of assumed driver in-the-loop oversight and hence have very different system and subsystem requirements. At the heart of SAE Level 2 to 5 systems is localization and mapping, which ranges from road determination for feature geofencing or high-level routing, through lane determination for advanced driver assistance, to where-in-lane positioning for full vehicle control. We assess localization and mapping requirements for different levels of autonomy and supported features. This work provides a framework for system decomposition, including the level of redundancy needed to achieve the target level of safety. We examine several representative autonomous and assistance features and make recommendations on positioning requirements as well map georeferencing and information integrity.
翻译:自主车辆的部署具有一系列能力,从个人车辆高速公路(SAE 2+级)的驾驶员协助功能到在复杂城市环境中运行的完全自主的车队搭乘共享服务(SAE 4+级),这种类型的自治往往在不同的实际环境中运作,假设的行内驾驶员监督程度不同,因此有非常不同的系统和子系统要求,SAE 2至5级系统的核心是定位和绘图,从确定地貌定位或高层次路线的道路,到确定高级驾驶员协助的行道,到完全控制车辆的行内定位,我们评估不同程度的自主和辅助特征的本地化和绘图要求,这项工作为系统分解提供了一个框架,包括实现目标安全水平所需的冗余程度,我们审查若干具有代表性的自主和援助特点,并就定位要求提出建议,以及地图地理参照和信息完整性。