Multimodal Information Integration for Indoor Navigation Using a Smartphone

Yaohua Chang, Jin Chen, Tyler Franklin, Lei Zhang, Arber Ruci, Hao Tang, Zhigang Zhu
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引用次数: 6

Abstract

We propose an accessible indoor navigation application. The solution integrates information of floor plans, Bluetooth beacons, Wi-Fi/cellular data connectivity, 2D/3D visual models, and user preferences. Hybrid models of interiors are created in a modeling stage with Wi-/cellular data connectivity, beacon signal strength, and a 3D spatial model. This data is collected, as the modeler walks through the building, and is mapped to the floor plan. Client-server architecture allows scaling to large areas by lazy-loading models according to beacon signals and/or adjacent region proximity. During the navigation stage, a user with the designed mobile app is localized within the floor plan, using visual, connectivity, and user preference data, along an optimal route to their destination. User interfaces for both modeling and navigation use visual, audio, and haptic feedback for targeted users. While the current pandemic event precludes our user study, we describe its design and preliminary results.
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基于智能手机的室内导航多模态信息集成
我们提出了一个可访问的室内导航应用程序。该解决方案集成了平面图、蓝牙信标、Wi-Fi/蜂窝数据连接、2D/3D视觉模型和用户偏好等信息。室内混合模型是在具有Wi /蜂窝数据连接,信标信号强度和3D空间模型的建模阶段创建的。当建模人员穿过建筑物时,收集这些数据,并将其映射到平面图上。客户端-服务器架构允许根据信标信号和/或邻近区域的接近程度通过延迟加载模型扩展到大面积。在导航阶段,使用设计的移动应用程序的用户在平面图中进行本地化,使用视觉,连接性和用户偏好数据,沿着最佳路线到达目的地。建模和导航的用户界面为目标用户使用视觉、音频和触觉反馈。虽然目前的大流行事件妨碍了我们的用户研究,但我们描述了其设计和初步结果。
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