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Estimation of Vehicular Connectivity in Autonomous Parking Scenarios

机译:自主停车场景下的车辆连通性估算

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摘要

In this paper different parking scenarios for autonomous vehicles are considered. For control and monitoring purposes reliable Wi-Fi-based communication between the vehicles and a back-end is needed. It must be ensured that potential QoS requirements of different applications are met and that vehicles do not hit so-called "white spots" without any network connectivity. The network properties are represented and estimated by a Connectivity Map. For this purpose, network and measurement data are continuously collected so that other vehicles can be provided with the newly gained knowledge, which allows the planning of the proposed scenarios. This paper shows potential QoS requirements and discusses the necessary steps for the realization of such a Connectivity Map. In addition to the automated continuous collection of relevant network parameters as a byproduct of vehicular communications, the mapping of the scenarios in terms of floor plans with additional meta-information as well as the representation of connectivity properties are shown. We outline our vision for using the developed Connectivity Map for advanced parking management decisions.
机译:本文考虑了自动驾驶汽车的不同停车场景。为了控制和监视,需要在车辆和后端之间进行基于Wi-Fi的可靠通信。必须确保满足不同应用程序的潜在QoS要求,并且在没有任何网络连接的情况下,车辆不会撞到所谓的“白点”。网络属性由连接图表示和估计。为此,不断收集网络和测量数据,以便可以为其他车辆提供新获得的知识,从而可以对提出的方案进行规划。本文显示了潜在的QoS要求,并讨论了实现这种连接图的必要步骤。除了自动连续收集有关网络参数作为车辆通信的副产品外,还显示了有关具有附加元信息的平面布置图以及连接性表示的场景映射。我们概述了使用发达的连通性地图制定高级停车管理决策的愿景。

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