论文标题
Haru：触觉增强现实辅助以用户为中心的工业网络计划
HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning
论文作者
论文摘要
为了支持行业4.0触觉和人机互动的应用，6G需要一个完全自主，视觉和互动的新框架。在本文中，我们提供了一个端到端的解决方案Haru，用于专用网络计划服务，尤其是工业网络。该解决方案由以下功能组成：从用户设备收集视觉和感觉数据，重建3D无线电传播环境并在服务器上进行网络计划，以及使用启用的触觉反馈在用户设备上使用AR可视化网络性能。这些功能由三个关键的技术组件授权：1）基于视觉和传感器融合的3D环境重建，2）基于射线跟踪的无线电图生成和网络计划，以及3）通过实时摄像机重新定位来启用AR辅助网络可视化。我们在德国的博世工厂进行了概念验证，并显示了优化的天线位置的良好网络覆盖范围，并且在环境重建和摄像机重新定位中均高精度。我们还实现了实时AR支持的网络监视，每帧的端到端延迟约为$ 32 $。
To support Industry 4.0 applications with haptics and human-machine interaction, 6G requires a new framework that is fully autonomous, visual, and interactive. In this paper, we provide an end-to-end solution, HARU, for private network planning services, especially industrial networks. The solution consists of the following functions: collecting visual and sensory data from the user device, reconstructing 3D radio propagation environment and conducting network planning on a server, and visualizing network performance with AR on the user device with enabled haptic feedback. The functions are empowered by three key technical components: 1) vision- and sensor fusion-based 3D environment reconstruction, 2) ray tracing-based radio map generation and network planning, and 3) AR-assisted network visualization enabled by real-time camera relocalization. We conducted the proof-of-concept in a Bosch plant in Germany and showed good network coverage of the optimized antenna location, as well as high accuracy in both environment reconstruction and camera relocalization. We also achieved real-time AR-supported network monitoring with an end-to-end latency of about $32$ ms per frame.
