Equinox: A Road-Side Edge Computing Experimental Platform for CAVs

Liangkai Liu, Yongtao Yao, Ruijun Wang, Baofu Wu, Weisong Shi
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引用次数: 9

Abstract

The great success of artificial intelligence and edge computing technology has largely promote the development of connected and autonomous driving. However, owing to the missing of the experiment platform for Road-Side Unit (RSU), majority of research works are either simulation based task offloading or commercial equipment's based scheduling design. The fundamental challenge of how to co-design the communication and computation in a practical system is not tackled.In this paper, we proposed Equinox, which is our design of the rode-side edge computing experimental platform for connected and autonomous vehicles. With communication, data, as well as the computation taken into consideration, Equinox provides stable and sufficient communication based on a combination of WiFi, LTE, and DSRC. Also, Equinox guarantees reliable and flexible data collection, data storage, and efficient data processing.
Equinox:自动驾驶汽车的路边边缘计算实验平台
人工智能和边缘计算技术的巨大成功在很大程度上推动了互联驾驶和自动驾驶的发展。然而,由于缺乏路边单元(RSU)的实验平台,大多数研究工作要么是基于仿真的任务卸载,要么是基于商用设备的调度设计。如何在实际系统中协同设计通信和计算的基本挑战没有得到解决。在本文中,我们提出了Equinox,这是我们设计的网联和自动驾驶汽车的道路侧边缘计算实验平台。考虑到通信、数据和计算,Equinox基于WiFi、LTE和DSRC的组合提供了稳定和充足的通信。此外,Equinox保证可靠和灵活的数据收集,数据存储和高效的数据处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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