In recent years, automated driving has become viable, and advanced driver assistance systems (ADAS) are now part of modern cars. These systems require highly precise positioning. In this paper, a cooperative approach to localization is presented. The GPS information from several road users is collected in a Mobile Edge Computing cloud, and the characteristics of GNSS positioning are used to provide lane-precise positioning for all participants by applying probabilistic filters and HD maps.

翻译：近年来，自动驾驶技术日趋成熟，高级驾驶辅助系统（ADAS）已成为现代汽车的标配。这些系统对定位精度提出了极高要求。本文提出一种协同定位方法：通过移动边缘计算云收集多道路使用者的GPS信息，利用全球导航卫星系统定位特性，结合概率滤波算法与高精地图，为所有参与者提供车道级精确定位服务。