论文标题
通过终身城市规模地图在智能手机上的协作增强现实
Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps
论文作者
论文摘要
在本文中，我们介绍了第一个发布的端到端生产计算机视觉系统，用于为城市规模的移动设备上共享的增强现实体验提供动力。在此过程中，我们为基于体验的映射框架提出了一种新的配方，以解决城市规模的大满贯可扩展性，鲁棒性，地图更新和生产系统所需的全天候绩效的关键问题。此外，我们提出了一种同步SLAM系统的有效方法，以同时提供多个边缘设备的无缝实时定位。在存在网络延迟和带宽限制的情况下，所有这些。所得系统在旧金山进行了大规模部署和测试，在旧金山，它在数百公里的地图区域提供了AR体验。为了促进该领域的进一步发展，我们向公众提供数据集，构成了迄今为止最大的此类数据。
In this paper we present the first published end-to-end production computer-vision system for powering city-scale shared augmented reality experiences on mobile devices. In doing so we propose a new formulation for an experience-based mapping framework as an effective solution to the key issues of city-scale SLAM scalability, robustness, map updates and all-time all-weather performance required by a production system. Furthermore, we propose an effective way of synchronising SLAM systems to deliver seamless real-time localisation of multiple edge devices at the same time. All this in the presence of network latency and bandwidth limitations. The resulting system is deployed and tested at scale in San Francisco where it delivers AR experiences in a mapped area of several hundred kilometers. To foster further development of this area we offer the data set to the public, constituting the largest of this kind to date.
