The Key Technology of High-Definition Maps Distribution Based on Edge Computing

Rongbo Zhang, Kaiyu Cai
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Abstract

The High-Definition map (HD map) is a key technology to achieve automatic driving above the grade of L3, with the amount of data comes to more than 105 times that of traditional navigation map. With the arrival of 5G communication and the rapid development of Internet of Things, each autonomous vehicle will request HD map service by accessing the Internet. The service of traditional navigation map under “cloud-end” mode may not be well adapted to future HD map application, so the paper proposes a MEC proposal for HD map application, deploying HD map server under “cloud-edge-end” mode to mitigate the high latency and improve low reliability caused by the faraway physical distance rather than “cloud-end” mode. The HD map is divided according to the latitude and longitude regions, being pushed to local edge computing node servers respectively to realize the interaction between autonomous vehicles and edge servers, which makes more convenient and reliable HD map services available. The experimental results show that the proposed proposal can cut off the communication delay effectively, ensuring the reliability of the HD map service, and providing high-quality HD map service for autonomous vehicles.
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基于边缘计算的高清地图分发关键技术
高清地图(HD map)是实现L3级以上自动驾驶的关键技术,其数据量达到传统导航地图的105倍以上。随着5G通信的到来和物联网的快速发展,每辆自动驾驶汽车都将通过接入互联网来请求高清地图服务。传统“云端”模式下的导航地图服务可能无法很好地适应未来的高清地图应用,因此本文提出了一种高清地图应用的MEC方案,即在“云端”模式下部署高清地图服务器,以缓解物理距离较远而非“云端”模式带来的高延迟和低可靠性。根据经纬度区域划分高清地图,分别推送到本地边缘计算节点服务器,实现自动驾驶车辆与边缘服务器的交互,提供更加便捷可靠的高清地图服务。实验结果表明,该方案能够有效地切断通信延迟,保证高清地图服务的可靠性,为自动驾驶汽车提供高质量的高清地图服务。
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