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基于 V2X 仿真环的 5G 自动驾驶演示。

5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach.

机构信息

Department of Automotive Technologies, Budapest University of Technology and Economics, 6, Stoczek utca, 1111 Budapest, Hungary.

ZalaZONE Automotive Proving Ground, 1, ZalaZONE tér, 8900 Zalaegerszeg, Hungary.

出版信息

Sensors (Basel). 2020 Dec 21;20(24):7344. doi: 10.3390/s20247344.

Abstract

Autonomous vehicles are at the forefront of interest due to the expectations of changing transportation for the better. In order to make better decisions on the road, vehicles use information from various sources: their own sensors, messages arriving from surrounding vehicles and objects, as well as from centralized entities-including their own Digital Twin. Certain decisions require the information to arrive with low latency and some of this information (such as video) requires broadband communication. Furthermore, the vehicles can populate an area, so they can represent mass communication endpoints that still need low latency and massive broadband. The mobility of the vehicles obviously requires the complete coverage of the roads with reliable wireless communication technologies fulfilling the previously mentioned needs. The fifth generation of cellular mobile technologies, 5G, addresses these requirements. The current paper presents real-life scenarios-on the M86 highway and the ZalaZONE proving ground in Hungary-for the demonstration of vehicular communication with 5G support, where the cars exchange sensor and control information with each other, their environment, and their Digital Twins. The demonstrations were carried out through the Scenario-in-the-Loop (SciL) methodology, where some of the actionable triggers were not physically present around the vehicles, but sensed or simulated around their Digital Twin. The measurements around the demonstrations aim to reveal the feasibility of the 5G Non-Standalone Architecture for certain communication scenarios, and they mainly aim to reveal the current latency and throughput limitations under real-life conditions.

摘要

自动驾驶汽车因其有望改善交通而成为人们关注的焦点。为了在道路上做出更好的决策,车辆会使用来自各种来源的信息:自身传感器、来自周围车辆和物体的消息,以及来自集中式实体(包括其自身的数字孪生体)的消息。某些决策需要信息具有低延迟,而某些信息(例如视频)则需要宽带通信。此外,车辆可以在一个区域内聚集,因此它们可以代表大量需要低延迟和大规模宽带的通信端点。车辆的移动性显然需要可靠的无线通信技术来实现全面覆盖道路,以满足上述需求。第五代蜂窝移动技术 5G 满足了这些要求。本文介绍了在 M86 高速公路和匈牙利的 ZalaZONE 试验场的现实场景,演示了具有 5G 支持的车辆通信,其中汽车相互之间、与环境以及与其数字孪生体交换传感器和控制信息。演示是通过场景在环(SciL)方法进行的,其中一些可操作的触发器并非实际存在于车辆周围,而是在其数字孪生体周围进行感应或模拟。演示周围的测量旨在揭示 5G 非独立架构在某些通信场景下的可行性,并主要旨在揭示实际条件下当前的延迟和吞吐量限制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/868f/7767350/f61e9d0dded7/sensors-20-07344-g001.jpg

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