Android application for indoor location using sensor fusion: ultrasounds and inertial devices

被引:0
|
作者
Perez-Bachiller, S. [1 ]
Gualda, D. [1 ]
Perez, M. C. [1 ]
Villadangos, J. M. [1 ]
Urena, J. [1 ]
Cervigon, R. [1 ]
机构
[1] Univ Alcala, Dept Elect, E-28805 Alcala De Henares, Madrid, Spain
来源
2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018) | 2018年
关键词
Sensor fusion; Android; indoor positioning; U-LPS; ultrasonic signals; inertial sensors;
D O I
暂无
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
This paper presents an Android application that allows estimating the position of the device in a robust and flexible way combining ultrasound signals emitted by a set of Ultrasonic Local Positioning Systems (U-LPSs), with inertial information obtained by an Inertial Measurement Unit (IMU) carried by the user and communicated via Bluetooth with the portable device. The U-LPSs are located in areas that require a high accuracy (such as entrances and waypoints) and the trajectory between U-LPSs where there is not ultrasound (US) coverage is estimated by the inertial sensors. When the user is inside an U-LPS area again, the trajectory and cumulative error of the inertial sensor are corrected. Therefore, this proposal provides a flexible and robust application, which is capable of adjusting to the demands of a large environment, reducing the number of U-LPSs to place. Each U-LPS consists of five transducers or beacons whose emissions, at a frequency of 41.67kHz, are multiplexed in time and encoded to achieve authentication and reduce interference by multiple access. At reception, an unlimited number of users with their mobile devices could calculate their position autonomously. The ultrasonic signals are captured by an external module that digitizes the signals and sends them to the portable device for processing. At the same time, IMU data is captured and, using an Extended Kalman Filter (EKF), both measures are fused and the possible errors accumulated by the IMU are corrected.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Indoor inertial navigation application for smartphones with Android
    Kaminski, L.
    Tarapata, G.
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2015, 2015, 9662
  • [2] Positioning Android Devices in Large Indoor Spaces and Transitioning to Outdoors by Sensor Fusion
    Garcia-Requejo, A.
    Perez-Rubio, M. C.
    Villadangos, J. M.
    Gualda, D.
    Hernandez, A.
    INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2021), 2021,
  • [3] Sensor network and inertial positioning hybridisation for indoor location and tracking applications
    Alvarez Lopez, Yuri
    Alvarez Narciandi, Guillermo
    Las-Heras Andres, Fernando
    INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2017, 24 (04) : 242 - 252
  • [4] Sensor network and inertial positioning hybridisation for indoor location and tracking applications
    López Y.Á.
    Narciandi G.Á.
    Las-Heras Andrés F.
    López, Yuri Álvarez (yalopez@tsc.uniovi.es), 2017, Inderscience Publishers (24) : 242 - 252
  • [5] Application of Fractional Sensor Fusion Algorithms for Inertial MEMS Sensing
    Romanovasi, M.
    Klingbeil, L.
    Traechtler, M.
    Manoli, Y.
    MATHEMATICAL MODELLING AND ANALYSIS, 2009, 14 (02) : 199 - 209
  • [6] An Attitude Estimation Method Based on Monocular Vision and Inertial Sensor Fusion for Indoor Navigation
    Wang, Zhe
    Li, Xisheng
    Zhang, Xiaojuan
    Bai, Yanru
    Zheng, Chengcai
    IEEE SENSORS JOURNAL, 2021, 21 (23) : 27051 - 27061
  • [7] Sensor-Data Fusion for Multi-Person Indoor Location Estimation
    Mohebbi, Parisa
    Stroulia, Eleni
    Nikolaidis, Ioanis
    SENSORS, 2017, 17 (10)
  • [8] Sensor Based Application for Malware Detection in Android OS(Operating System) Devices
    Rajalakshmi, B.
    Anusha, N.
    2017 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2017,
  • [9] Implementation of an Android based teleoperation application for Controlling a KUKA-KR6 robot by using sensor fusion
    Yepes, Juan C.
    Yepes, Juan J.
    Martinez, Jose R.
    Perez, Vera Z.
    2013 PAN AMERICAN HEALTH CARE EXCHANGES (PAHCE), 2013,
  • [10] Sensor Fusion For Land Vehicle Localization Using Inertial MEMS and Odometry
    Mikov, Aleksandr
    Panyov, Alexey
    Kosyanchuk, Vasily
    Prikhodko, Igor
    2019 6TH IEEE INTERNATIONAL SYMPOSIUM ON INERTIAL SENSORS & SYSTEMS (INERTIAL 2019), 2019,