论文标题
RSL-NET：从地面上的雷达中进行卫星图像中的位置
RSL-Net: Localising in Satellite Images From a Radar on the Ground
论文作者
论文摘要
本文是关于使用安装在地面车上的FMCW雷达将车辆定位在高架图像中的内容。 FMCW雷达为车辆定位提供了非凡的希望和功效。它不受所有天气类型和照明条件的不可渗透。但是，毫米雷达波和物理环境之间相互作用的复杂性使其成为一个具有挑战性的领域。无基础设施基于大规模的雷达定位仍处于起步阶段。通常，在这里构建了地图，并带有合适的技术（与传感器的性质兼容）。在这项工作中，我们避免需要基于雷达的地图；取而代之的是，我们只是使用俯卧撑图像 - 到处都可以使用的资源。本文介绍了一种自然处理信号类型的复杂性，而且在交叉模态处理的背景下进行的方法。
This paper is about localising a vehicle in an overhead image using FMCW radar mounted on a ground vehicle. FMCW radar offers extraordinary promise and efficacy for vehicle localisation. It is impervious to all weather types and lighting conditions. However the complexity of the interactions between millimetre radar wave and the physical environment makes it a challenging domain. Infrastructure-free large-scale radar-based localisation is in its infancy. Typically here a map is built and suitable techniques, compatible with the nature of sensor, are brought to bear. In this work we eschew the need for a radar-based map; instead we simply use an overhead image -- a resource readily available everywhere. This paper introduces a method that not only naturally deals with the complexity of the signal type but does so in the context of cross modal processing.
