Accurate Indoor Location Tracking Exploiting Ultrasonic Reflections

被引:16
|
作者
Kim, Kang-Wook [1 ]
Kwon, Jihye [2 ]
Lee, Chang-Gun [1 ]
Han, Junghee [3 ]
机构
[1] Seoul Natl Univ, Sch Comp Sci & Engn, Seoul 151744, South Korea
[2] Columbia Univ, Dept Comp Sci, New York, NY 10027 USA
[3] Korea Aerosp Univ, Dept Telecommun & Comp Engn, Goyang 412791, South Korea
关键词
Tracking; localization; ultrasonic reflection; plane detection; SYSTEMS;
D O I
10.1109/JSEN.2016.2617398
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
Time difference of arrivals) (TDoA)-based location tracking systems using RF and ultrasonic signals often give unacceptable errors due to the line-of-sight limitation of the ultrasonic signal. To overcome this limitation, many researchers have devoted their efforts using various methods. To further enhance accuracy and improve performance, this paper proposes a novel TDoA-based location tracking technique that explicitly exploits ultrasonic reflections in location estimation. We also propose a reflection plane detection method, which makes system configuration easy for the proposed reflection-aware location tracking algorithm. The proposed system can achieve a high location accuracy with errors smaller than 35 cm even when the lines of sight of ultrasonic signals are frequently blocked and hence they are received through reflections.
引用
收藏
页码:9075 / 9088
页数:14
相关论文
共 50 条
  • [31] Underwater Datalogger for Accurate Position and Location Estmation and Tracking
    Zhu, Xiyuan
    Shih, WuRong
    Zheng, Y. Rosa
    2019 16TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING (SECON), 2019,
  • [32] Exploiting cooperative sensing for accurate target tracking in industrial Internet of things
    Khan, Muneeb A.
    Khan, Muazzam A.
    Rahman, Anis U.
    Malik, Asad Waqar
    Khan, Safdar A.
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2019, 15 (12):
  • [33] An adaptive location estimator using tracking algorithms for indoor WLANs
    Chiou, Yih-Shyh
    Wang, Chin-Liang
    Yeh, Sheng-Cheng
    WIRELESS NETWORKS, 2010, 16 (07) : 1987 - 2012
  • [34] Modeling of Person Tracking System with Indoor Location Detection Methods
    Yuksek, Ahmet Gurkan
    Arslan, Halil
    Cifci, Gulsah
    Elyakan, Mustafa Lemi
    2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP), 2018,
  • [35] An adaptive location estimator using tracking algorithms for indoor WLANs
    Yih-Shyh Chiou
    Chin-Liang Wang
    Sheng-Cheng Yeh
    Wireless Networks, 2010, 16 : 1987 - 2012
  • [36] A Comparative Survey on Indoor Object Location Tracking Techniques and Technologies
    Asaduzzaman, Mina
    Geok, Tan Kim
    Sayeed, Shohel
    Bari, Md Ahsanul
    Hossain, Ferdous
    Peng, Tan Choo
    2020 IEEE 10TH INTERNATIONAL CONFERENCE ON SYSTEM ENGINEERING AND TECHNOLOGY (ICSET), 2020, : 79 - 84
  • [37] LocSens - An Indoor Location Tracking System using Wireless Sensors
    Bagci, Faruk
    Kluge, Florian
    Ungerer, Theo
    Bagherzadeh, Nader
    2008 PROCEEDINGS OF 17TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS, VOLS 1 AND 2, 2008, : 887 - +
  • [38] Indoor Location Tracking Using Low-Cost Modules
    Yogaprakash, K.
    Soh, Wee-Seng
    2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2013, : 1778 - 1783
  • [39] Smartphone-based User Location Tracking in Indoor Environment
    Viet-Cuong Ta
    Vaufreydaz, Dominique
    Trung-Kien Dao
    Castelli, Eric
    2016 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2016,
  • [40] Indoor Location Data for Tracking Human Behaviours: A Scoping Review
    Shum, Leia C.
    Faieghi, Reza
    Borsook, Terry
    Faruk, Tamim
    Kassam, Souraiya
    Nabavi, Hoda
    Spasojevic, Sofija
    Tung, James
    Khan, Shehroz S.
    Iaboni, Andrea
    SENSORS, 2022, 22 (03)