测绘通报 ›› 2020, Vol. 0 ›› Issue (1): 132-135,141.doi: 10.13474/j.cnki.11-2246.2020.0028

• 第七届测绘科学前沿技术论坛获奖论文 • 上一篇    下一篇

基于环境光修正的行人航迹推算

陶晓晓1, 卢小平1, 代文晨2, 余振宝1, 张冬梅1   

  1. 1. 河南理工大学自然资源部矿山时空信息与生态修复重点实验室, 河南 焦作 454000;
    2. 中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083
  • 收稿日期:2019-05-27 发布日期:2020-02-10
  • 通讯作者: 卢小平。E-mail:hpuluxp@163.com E-mail:hpuluxp@163.com
  • 作者简介:陶晓晓(1994-),男,硕士生,主要研究方向为室内外一体化定位。E-mail:2579199591@qq.com
  • 基金资助:
    国家重点研发计划(2016YFC0803103);河南省高校创新团队支持计划(14IRTSTHN026);河南省创新型科技创新团队支持计划

Pedestrian dead reckoning based on ambient light correction

TAO Xiaoxiao1, LU Xiaoping1, DAI Wenchen2, YU Zhenbao1, ZHANG Dongmei1   

  1. 1. Key Laboratory of Spatio-temporal Information and Ecological Restoration of Mines, MNR, Henan Polytechnic University, Jiaozuo 454000, China;
    2. College of Geoscience and Surveying Engineering, China University of Mining&Technology, Beijing 100083, China
  • Received:2019-05-27 Published:2020-02-10

摘要: 针对室内定位存在单一定位精度低,以及组合定位成本高、不易实现的问题,提出了一种利用环境光修正行人航迹推算(PDR)的方法。该方法利用智能手机采集的加速度、陀螺仪和磁力计数据实现PDR位置估计;同时利用手机的光线传感器实时获取所在位置的环境光强度信息,基于采集的室内环境光强度信息修正PDR轨迹中产生的累计误差。经试验数据分析,该方法可以有效地解决PDR轨迹中产生的累计误差,可为大型超市、地下停车场、隧道、矿井等室内光照强度较为稳定的区域提供定位技术帮助。

关键词: 室内定位, PDR, 环境光, 位置估计, 累计误差

Abstract: Aiming at the problem of low positioning accuracy, high combination positioning cost and difficulty to realize in indoor positioning, a method of correcting pedestrian track calculation (PDR) using ambient light assistance is proposed. This method uses the acceleration, gyroscope and magnetometer datacollected by the smartphone to realize the PDR position estimation. At the same time, the light intensity sensor of the mobile phone is used to obtain the ambient light intensity information of the location in real time, the collected indoor ambient light intensity information is used to correct the cumulative error generated in the PDR trajectory. After the experimental data analysis, this method can effectively solve the cumulative error produced in the PDR trajectory, it can provide positioning technology for large supermarkets, underground parking lots, tunnels, mines and other areas with stable indoor illumination intensity.

Key words: indoor positioning, PDR, ambient light, location estirnation, cumulative error

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