5G mobile network technology together with edge computing will create new opportunities for developing novel road safety services in order to better support connected and automated driving in challenging situations. This paper studies the feasibility and benefits of localized mobile network edge applications for supporting vehicles in diverse conditions. We study a particular scenario, where vehicle sensor data processing, required by road safety services, is installed into the mobile network edge in order to extend the electronic horizon of the sensors carried by other vehicles. Specifically, we focus on a LiDAR data-based obstacle warning case where vehicles receive obstacle warnings from the mobile network edge. The proposed solution is based on a generic system architecture. In this paper, we first evaluate different connectivity and computing options associated with such a system using ns-3 simulations. Then, we introduce a proof-of-concept implementation of the LiDAR-based obstacle warning scenario together with first results from an experimental evaluation, conducted both in a real vehicle testbed environment and in a laboratory setting. As a result, we obtain first insights on the feasibility of the overall solution and further enhancements needed.

5G移动网络技术与边缘计算一起将为开发新颖的道路安全服务创造新的机会，以便更好地支持挑战性情况下的互联和自动驾驶。本文研究了在各种条件下支持车辆的本地化移动网络边缘应用程序的可行性和优势。我们研究了一种特殊情况，其中将道路安全服务所需的车辆传感器数据处理安装到移动网络边缘，以扩展其他车辆携带的传感器的电子视界。具体来说，我们重点研究基于LiDAR数据的障碍物警告案例，其中车辆从移动网络边缘接收障碍物警告。所提出的解决方案基于通用系统架构。在本文中，我们首先使用ns-3仿真评估与该系统相关的不同连接性和计算选项。然后，我们介绍了基于LiDAR的障碍物警告场景的概念验证实施，以及在真实车辆测试台环境和实验室环境中进行的实验评估得出的第一结果。结果，我们对整体解决方案的可行性和所需的进一步增强有了初步了解。