作者
Liangkai Liu, Yongtao Yao, Ruijun Wang, Baofu Wu, Weisong Shi
发表日期
2020/2/27
研讨会论文
2020 International Conference on Connected and Autonomous Driving (MetroCAD)
页码范围
41-42
出版商
IEEE
简介
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.
引用总数
2020202120222023202448424
学术搜索中的文章
L Liu, Y Yao, R Wang, B Wu, W Shi - 2020 International Conference on Connected and …, 2020