Given its increasing popularity in recent years, teleoperation technology is now recognized as a robust fallback solution for Automated Driving (AD). Remote Assistance (RA) represents an event-driven class of teleoperation with a distinct division of tasks between the Autonomous Vehicle (AV) and the remote human operator. This paper presents a novel approach for RA of AVs in urban environments. The concept draws inspiration from the potential synergy between highly-automated systems and human operators to collaboratively solve complex driving situations. Utilizing a hybrid algorithm that makes use of the Operational Design Domain (ODD) modification idea, it considers actions that go beyond the nominal operational space. Combined with the advanced cognitive reasoning of the human remote operator, the concept offers features that hold the potential to significantly improve both RA and AD user experiences.

翻译：随着近年来远程操作技术的日益普及，它已被视为自动驾驶（AD）的可靠后备解决方案。远程辅助（RA）代表了一类事件驱动的远程操作，其特点是自主车辆（AV）与远程人类操作员之间具有明确的任务划分。本文提出了一种面向城市环境中AV远程辅助的新方法。该思想灵感来源于高度自动化系统与人类操作员之间潜在协同效应，以协作解决复杂驾驶场景。通过利用运行设计域（ODD）修改概念的混合算法，本研究考虑了超越标称运行空间的动作。结合远程人类操作员的先进认知推理能力，该方法提供的特性有望显著改善RA与AD的用户体验。