论文标题
自动驾驶和无人机地理围栏的动态图
Dynamic maps for automated driving and UAVs geofencing
论文作者
论文摘要
过去的几年目睹了对无驾驶员汽车的兴趣显着上升。自然而然，同时，对准确可靠的物体定位和映射系统的需求比以往任何时候都更高。这样的系统必须为订阅者提供近距离范围内的精确信息。以前有许多研究工作探讨了在智能运输系统设置中实现这种高度动态映射系统的不同可能方法，但是很少有人讨论了其适用于实现其他5G垂直和服务的适用性。在本文中，我们首先描述动态图的概念。然后，我们通过介绍其架构和不同的组件来创建时空动态地图系统时介绍我们采取的方法。之后，我们提出了不同的方案，可以将这种相当新的现代技术调整为提供其他5G服务，尤其是无人机地理申请的服务，最后，我们测试了对象检测模块并讨论结果。
The past few years have witnessed a remarkable rise in interest in driver-less cars; and naturally, in parallel, the demand for an accurate and reliable object localization and mapping system is higher than ever. Such a system would have to provide its subscribers with precise information within close range. There have been many previous research works that have explored the different possible approaches to implement such a highly dynamic mapping system in an intelligent transportation system setting, but few have discussed its applicability toward enabling other 5G verticals and services. In this article we start by describing the concept of dynamic maps. We then introduce the approach we took when creating a spatio-temporal dynamic maps system by presenting its architecture and different components. After that, we propose different scenarios where this fairly new and modern technology can be adapted to serve other 5G services, in particular, that of UAV geofencing, and finally, we test the object detection module and discuss the results.
