测绘通报 ›› 2019, Vol. 0 ›› Issue (2): 17-21.doi: 10.13474/j.cnki.11-2246.2019.0036

• 学术研究 • 上一篇    下一篇

融合三边测量和PDR的室内定位关键技术分析及应用

陈鹏1, 廖明2, 刘武平3, 呙维3, 宋杨1   

  1. 1. 广州市城市规划勘测设计研究院, 广东 广州 510060;
    2. 江西省基础地理信息中心, 江西 南昌 330209;
    3. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079
  • 收稿日期:2018-04-16 出版日期:2019-02-25 发布日期:2019-03-05
  • 作者简介:陈鹏(1979-),男,博士,高级工程师,主要从事地理信息系统、摄影测量领域应用及研究工作。E-mail:115559970@qq.com
  • 基金资助:

    广州市科技计划项目(201604020070)

Indoor positioning system based on trilateration and PDR fusion

CHEN Peng1, LIAO Ming2, LIU Wuping3, GUO Wei3, SONG Yang1   

  1. 1. Guangzhou Urban Planning Design & Survey Research Institute, Guangzhou 510060, China;
    2. Jiangxi Provincal Geomatics Center, Nanchang 330209, China;
    3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2018-04-16 Online:2019-02-25 Published:2019-03-05

摘要:

随着无线室内定位技术的发展,室内定位效果有了明显提升,但仅采用无线定位方法,定位点跳动频繁,定位效果较差,难以获取连续位置的准确定位。实际应用中不同的硬件平台也会影响具体定位方法的选择,通常需采用多种技术手段的组合以达到理想定位效果。本文基于微信公众平台的服务需要,提出了一种基于三边测量定位和步行者航位推算(PDR)融合的室内定位方法,通过地图信息匹配纠正定位结果,得到连续稳定的定位结果;并集成室内地图可视化技术,研发了一套基于微信平台的三维室内定位系统,在实际工程场景中进行应用,具有较好的定位效果。

关键词: 无线定位, PDR, 融合解算, 地图匹配, 室内定位导航

Abstract:

The indoor positioning has been improved significantly with the development of wireless indoor positioning technology. However, it is difficult to obtain continuous positions only using a wireless positioning method, which makes the positioning point jitter without good user experience. Practical applications require a variety of technical tools. Different hardware platforms will affect the specific combination. In this paper, we propose a method fusing the trilateration and PDR, and using map matching to correct results in order to get continuous and stable positioning results based on the WeChat platform. Then, we use indoor map visualization technology to visualize the components of the indoor positioning system. Finally, an indoor positioning system based on the WeChat platform is developed. The system has already been applied in the actual scene and has good positioning results.

Key words: wireless positioning, PDR, fusion solution, map matching, indoor positioning and navigation

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