Integrating bluetooth and LoRa networking with RGB-D cameras for indoor location and mapping

将蓝牙和 LoRa 网络与 RGB-D 摄像头集成，用于室内定位和测绘

• 批准号: 514520-2017
• 负责人: OKeefe, Kyle
• 金额: $ 7.29万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=661160
• 关键词: Integrating; bluetooth; LoRa; networking; RGB

The rapid development of smart phones, internet-of-things and 3D mapping technologies is creating new markets in location-aware services. Although many phones can receive Global Navigation Satellite System (GNSS) signals, GNSS is not effective indoors or in urban canyons. This is most often solved though observing signal strengths of wireless local area network (WLAN) signals providing horizontal accuracy on the order of 20 m, however new lower-power wireless communications standards (Bluetooth low energy, BLE and a low-power wide area network protocol called LoRa) are emerging that could replace WLAN positioning with higher accuracies and lower infrastructure costs. In parallel, low cost RGB-D (red, green, blue, depth) range cameras are appearing in mobile devices and will soon become a source information for constructing indoor 3D models. This proposal describes the investigation of two aspects of a novel indoor positioning and mapping system that integrates an RGB-D range camera and a unique network architecture of low cost Bluetooth and LoRa nodes interacting with a network of mobile beacons that may include an RGB-D equipped smartphone being used for indoor location and mapping. The project aims to improve the accuracy of the RGB-D point registration cloud in large indoor areas. The current RGB-D technology relies solely on navigation data that does not provide sufficient accuracy to provide reliable point clouds. Specifically, the proposal deals with novel algorithms to extract point clouds obtained with the range camera, the assessment of the systematic errors present in these point clouds, and positioning the camera using a novel network of BLE/LoRa signals. The partner organization, Approprolis Inc., requires the wireless location and indoor 3D modelling solutions that will be developed in order to commercial their products and services. In addition to the development of robust**indoor navigation and mapping solutions, the collaboration will also train 7 new HQP to work in this growing area and help establish Calgary as a global centre of excellence in indoor positioning and mapping to add to the current cluster of geomatics industries in the city.

智能手机、物联网和3D地图技术的快速发展正在为位置感知服务创造新的市场。虽然许多手机可以接收全球导航卫星系统（GNSS）信号，但GNSS在室内或城市峡谷中并不有效。这通常是通过观察提供20米水平精度的无线局域网（WLAN）信号的信号强度来解决的，然而，新的低功耗无线通信标准（蓝牙低功耗，BLE和低功耗广域网协议称为LoRa）正在出现，可以取代WLAN定位，具有更高的精度和更低的基础设施成本。与此同时，低成本的RGB-D（红、绿、蓝、深度）范围相机正在移动设备中出现，并将很快成为构建室内3D模型的来源信息。本提案描述了一种新型室内定位和测绘系统的两个方面的研究，该系统集成了RGB-D范围相机和低成本蓝牙和LoRa节点的独特网络架构，该网络与移动信标网络交互，其中可能包括用于室内定位和测绘的配备RGB-D的智能手机。该项目旨在提高RGB-D点配准云在室内大区域的精度。目前的RGB-D技术仅依赖于导航数据，无法提供足够的精度来提供可靠的点云。具体而言，该提案涉及提取距离相机获得的点云的新算法，评估这些点云中存在的系统误差，并使用新的BLE/LoRa信号网络定位相机。合作伙伴Approprolis公司需要无线定位和室内3D建模解决方案，以便将其产品和服务商业化。除了开发强大的**室内导航和地图解决方案外，该合作还将培训7名新的HQP在这一不断发展的领域工作，并帮助卡尔加里成为室内定位和地图绘制的全球卓越中心，以增加该市当前的地理信息产业集群。