FieldLight: Device-Free Indoor Human Localization Using Passive Visible Light Positioning and Artificial Potential Fields

被引:40
作者
Konings, Daniel [1 ,2 ]
Faulkner, Nathaniel [1 ,2 ]
Alam, Fakhrul [1 ,2 ]
Lai, Edmund M. -K. [3 ]
Demidenko, Serge [2 ,4 ,5 ]
机构
[1] Massey Univ, Dept Mech & Elect Engn, Auckland 0632, New Zealand
[2] Massey Univ, Sch Food & Adv Technol, Auckland 0632, New Zealand
[3] Auckland Univ Technol, Sch Engn Comp & Math Sci, Auckland 1142, New Zealand
[4] Sunway Univ, Sch Sci & Technol, Bandar Sunway 47500, Selangor, Malaysia
[5] Massey Univ, Dept MEE, Auckland 0632, New Zealand
关键词
Indoor localization; visible Light positioning (VLP); device free localization (DFL); passive VLP; artificial potential fields; TRACKING; SENSORS;
D O I
10.1109/JSEN.2019.2944178
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Device-free or passive localization techniques allow positioning of targets, without requiring them to carry any form of transceiver or tag. In this paper, a novel device-free visible light positioning technique is proposed. It exploits the variation of the ambient light levels caused by a moving entity. The target is localized by employing a system of artificial potential fields associated with a set of photodiodes embedded into an indoor environment. The system does not require the existing lighting infrastructure to be modified. It also employs a novel calibration procedure that does not require labelled training data, thus significantly reducing the calibration cost. The developed prototype system is installed in three typical indoor environments consisting of a corridor, foyer, and laboratory and was able to attain median errors of 0.68m, 1.20m and 0.84m respectively. Through experimental results, the proposed VLP technique is benchmarked against an existing wireless RSSI-based device-free localization approach, and was able to attain a median error 0.63m lower than the wireless technique.
引用
收藏
页码:1054 / 1066
页数:13
相关论文
共 45 条
[1]  
Adeli H., 2011, INT J COMPUTER SCI I, V8, P28
[2]   Indoor Visible Light Positioning Using Spring-Relaxation Technique in Real-World Setting [J].
Alam, Fakhrul ;
Faulkner, Nathaniel ;
Legg, Mathew ;
Demidenk, Serge .
IEEE ACCESS, 2019, 7 :91347-91359
[3]  
[Anonymous], IEEE T INSTRUM MEAS
[4]  
[Anonymous], P 15 INT C INF PROC
[5]   The visual perceptual range of a lizard, Tiliqua rugosa [J].
Auburn, Zonnetje M. ;
Bull, C. Michael ;
Kerr, Gregory D. .
JOURNAL OF ETHOLOGY, 2009, 27 (01) :75-81
[6]   NUMERICAL POTENTIAL-FIELD TECHNIQUES FOR ROBOT PATH PLANNING [J].
BARRAQUAND, J ;
LANGLOIS, B ;
LATOMBE, JC .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1992, 22 (02) :224-241
[7]   Performance of Machine Learning Classifiers for Indoor Person Localization With Capacitive Sensors [J].
Bin Tariq, Osama ;
Lazarescu, Mihai Teodor ;
Iqbal, Javed ;
Lavagno, Luciano .
IEEE ACCESS, 2017, 5 :12913-12926
[8]   PCA-Kalman: device-free indoor human behavior detection with commodity Wi-Fi [J].
Dang, Xiaochao ;
Huang, Yaning ;
Hao, Zhanjun ;
Si, Xiong .
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2018,
[9]   Smart Wall: Passive Visible Light Positioning with Ambient Light Only [J].
Faulkner, Nathaniel ;
Alam, Fakhrul ;
Legg, Mathew ;
Demidenko, Serge .
2019 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2019, :1740-1745
[10]   Performing indoor localization with electric potential sensing [J].
Fu, Biying ;
Kirchbuchner, Florian ;
von Wilmsdorff, Julian ;
Grosse-Puppendahl, Tobias ;
Braun, Andreas ;
Kuijper, Arjan .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (02) :731-746