[1]王语琪[][],巩应奎[]. 一种基于视觉信息的可见光通信室内定位方法[J].计算机技术与发展,2016,26(01):200-204.
　WANG Yu-qi[][],GONG Ying-kui[]. An Indoor Positioning Method of Visible Light Communication Based on Visual Information[J].,2016,26(01):200-204.
点击复制

 一种基于视觉信息的可见光通信室内定位方法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年01期
页码:
200-204
栏目:
应用开发研究
出版日期:
2016-01-10

文章信息/Info

Title:
 An Indoor Positioning Method of Visible Light Communication Based on Visual Information
文章编号:
1673-629X（2016)01-0200-05
作者:
 王语琪[1][2];  巩应奎[1]
 1.中国科学院 光电研究院；2.中国科学院大学
Author(s):
 WANG Yu-qi[1][2] ; GONG Ying-kui[1]
关键词:
 ; 视觉信息; 共线方程; 室内定位; 可见光通信
Keywords:
 ; visual information; collinear equation; indoor positioning; visible light communication
分类号:
TP301
文献标志码:
A
摘要:
 可见光通信技术的发展为室内定位提供了新的契机。为了提高室内定位精度，文中提出一种基于视觉信息的可见光通信室内定位方法。该方法通过 LED 灯发送可见光通信信息，并将低分辨率的光电二极管传感器阵列接收到的可见光通信信息与手机终端的前置摄像头接收到的视觉信息进行融合，实现室内定位。同时，阐述了两种不同信息源的匹配融合的方法，并针对手机终端的前置摄像头与多盏 LED 成像之间的相互关系，提出了改进的共线方程模型。当输入数据为终端传感器接收到的 LED 灯可见光信息、相关视觉信息以及手机前置摄像头参数时，利用该模型可得到手机终端的三维坐标信息。文中针对定位模型进行了半实物仿真，验证了定位方法的可行性。根据仿真结果，定位精度达到分米级。
Abstract:
 The development of visible light communication provides a new opportunity for indoor positioning. In order to improve indoor positioning accuracy,a positioning method using visible light communication based on visual light information is proposed,which is fu-sing visible light information received by low-resolution photo diode array and visual information received by front facing camera to real-ize the indoor positioning. At the same time,a fusion method for two different information matching is discussed,and for the relationship between the front facing camera and the LEDs’ imaging,an improved collinear equation model is proposed. When the input data is the visible light information,the relevant visual information and the parameters of front facing camera from LEDs’ light,the 3D coordinate information of the mobile terminal is obtained by using the model. A hardware-in-loop simulation has been verified and analyzed. Ac-cording to the results of the simulation,3D positioning accuracy is up to decimeter level.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(01):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(01):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(01):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(01):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(01):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(01):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(01):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(01):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(01):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(01):47.

更新日期/Last Update: 2016-04-14