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MEMS-INS室内行人定位三维地图匹配算法
引用本文:任明荣,孟娟,王普.MEMS-INS室内行人定位三维地图匹配算法[J].电子学报,2021,49(1):111-116.
作者姓名:任明荣  孟娟  王普
作者单位:北京工业大学信息学部自动化学院,北京 100124;北京工业大学数字社区教育部工程研究中心,北京 100124;北京工业大学计算智能与智能系统北京市重点实验室,北京 100124;北京工业大学信息学部自动化学院,北京 100124;北京工业大学数字社区教育部工程研究中心,北京 100124
摘    要:提高基于微机械(Micro-Electro-Mechanical System,MEMS)惯性导航系统(Inertial Navigation System,INS)的室内行人三维定位精度一直是一个研究热点和难点,其中器件误差是影响MEMS-INS精度的一个棘手问题.由于器件误差产生的机理十分复杂,采用现有的修正技术无...

关 键 词:微机械惯性导航系统  室内行人定位  条件随机场  室内地图匹配
收稿时间:2018-10-24

MEMS-INS Based Indoor Pedestrian Localization Using Three-Dimensional Map Matching Algorithm
REN Ming-rong,MENG Juan,WANG Pu.MEMS-INS Based Indoor Pedestrian Localization Using Three-Dimensional Map Matching Algorithm[J].Acta Electronica Sinica,2021,49(1):111-116.
Authors:REN Ming-rong  MENG Juan  WANG Pu
Affiliation:1. Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; 2. Engineering Research Center of Digital Community, Beijing University of Technology, Beijing 100124, China; 3. Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China
Abstract:Improving micro-electro-mechanical inertial navigation system based indoor pedestrian localization is a hot and hard topic these days.It is because random errors of MEMS gyroscopes and accelerators are very complicated,and very difficult to model using norm techniques.In this paper,a map matching method based on conditional random fields and indoor 3D map is proposed.The algorithm is designed by establishing the mathematical relationship between the inertial position and the interior points of indoor map,and the optimal trajectory algorithm is used to get the estimated locations.The position errors of inertial navigation are corrected according to the matching points solved by the algorithm.
Keywords:micro-electro-mechanical inertial navigation system(MEMS-INS)  indoor pedestrian localization  conditional random fields  indoor map matching  
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