期刊文献+

基于手机的室内数字平面图构建方法 被引量:2

Construction Method of Indoor Digital Floor Plan Based on Smartphone
下载PDF
导出
摘要 针对目前室内地图绘制和更新困难的问题,提出一套室内平面图自动构建方法。采集智能手机内置传感器数据,包括加速度、角速度、磁场强度和海拔,进行行人航位推算,获得行走轨迹。通过对大量轨迹的分析,结合WiFi信号变化,识别出轨迹中的转弯、门位置和楼梯位置,并将轨迹划分为房间类型和走廊类型。采用聚类算法和α-shape算法对房间类型轨迹进行分析,绘制出房间形状。根据走廊类型轨迹,利用聚类算法和主成分分析算法确定走廊的长和宽。实验结果表明,该算法能够较准确地自动构建出包括房间和走廊的室内数字平面图。 Aiming at the difficulty of drawing and updating indoor floor plan,this paper proposes an automatic construction method of indoor floor plan based on smartphones.The method first collects smartphone sensor data,including acceleration,angular velocity,magnetic field strength and altitude,to estimate walking traces by pedestrian dead reckoning.Afterwards,the method analyzes the walking traces and recognizes turnings,door locations and stairs,together with WiFi signals.Clustering and theα-shape algorithm are applied to construct the rooms.Clustering and the principal component analysis algorithm are applied to construct the corridors.Evaluations show that this algorithm is able to construct accurate indoor floor plans with rooms and corridors.
作者 赵鹏飙 刘歌 罗磊 周瑞 ZHAO Pengbiao;LIU Ge;LUO Lei;ZHOU Rui(School of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu 610054,China;Luohe Vocational Technology College,Luohe,Henan 462000,China)
出处 《计算机工程》 CAS CSCD 北大核心 2018年第11期271-275,281,共6页 Computer Engineering
关键词 平面图自动构建 行人航位推算 聚类 α-shape算法 主成分分析 automatic construction of floor plan pedestrian dead reckoning clustering α-shape algorithm Principal Component Analysis(PCA)
  • 相关文献

参考文献2

二级参考文献17

  • 1MO L, ROUF V T, THOMPSON M J, et al. Three-axislorentz-force magnetic sensor for electronic compass ap- plications [ J ]. Journal of Microelectromechanical Sys- tems,2012,21 (4) : 1002-1010.
  • 2SEONG Y C. MEMS based pedestrian navigation system[J]. The Journal of Navigation,2006,59 : 135-153.
  • 3MARINA D M. Small magnetic sensors for space applica- tions [ J]. IEEE Sensors ,2009,9:2271-2288.
  • 4YOUSSEF M,YOSEF M A, DERINI M. GAC:energy-ef- ficient hybrid GPS-accelerometer-compass GSM localiza- tion[ C]. 2010 IEEE Global Telecommunications Con- ference. Miami, Florida, USA ,2010 : 1-5.
  • 5MARKOVIC R, KRAJNC A, MATKO D. Calibration of a solid-state magnetic compass using angular-rate informa- tion from low-cost sensors [ J ]. Science, Measurement & Technology ,2011,5 ( 2 ) :54-58.
  • 6SUN H,CAO J,ZHANG X,et al. A novel calibration method of magnetic compass based on ellepsoid fitting [ J ]. IEEE Transactions on Instrumentation and Measurement, 2011, 60(6) :2053-2061.
  • 7ROBERT R, CHRISTIAN S,SAMUEL H. Electronic com- pass sensor [ J ]. Proceedings of IEEE 24-27,2004, 3 : 1446-1449.
  • 8PETRUCHA V, KASPAR P, RIPKA P, et al. Automated system for the calibration of magnetometers [ J ]. Journal of Applied Physics, 2009,105 (7) :07E704-07E704-3.
  • 9CARUSO M J. Applications of magnetic sensors for low cost compass systems [ C ]. 2000 IEEE Position Location and Navigation Symposium.San Diego, California, USA ,2000.
  • 10STEFAN M, SUSAN M. The US/UK World Magnetic Model for 2010-2015 [ R]. NOAA Technical Report NES- DIS/NGDC,2010.

共引文献28

同被引文献17

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部