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
  • [31] A multi-sensor fusion positioning approach for indoor mobile robot using factor graph
    Zhang, Liyang
    Wu, Xingyu
    Gao, Rui
    Pan, Lei
    Zhang, Qian
    MEASUREMENT, 2023, 216
  • [32] Multi-sensor fusion for robust indoor localization of industrial UAVs using particle filter
    Mraz, Eduard
    Trizuljak, Adam
    Rajchl, Matej
    Sedlacek, Martin
    Stec, Filip
    Stanko, Jaromir
    Rodina, Jozef
    JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, 2024, 75 (04): : 304 - 316
  • [33] Occupancy inference using infrastructure elements in indoor environment: a multi-sensor data fusion
    Trivedi, Dipti
    Badarla, Venkataramana
    Bhandari, Ravi
    CCF TRANSACTIONS ON PERVASIVE COMPUTING AND INTERACTION, 2023, 5 (03) : 255 - 275
  • [34] IMU/UWB sensor fusion using moving average filter for indoor positioning of mobile robot
    Lim J.-H.
    Shim J.-H.
    Jung H.
    Journal of Institute of Control, Robotics and Systems, 2020, 26 (04) : 242 - 248
  • [35] Occupancy inference using infrastructure elements in indoor environment: a multi-sensor data fusion
    Dipti Trivedi
    Venkataramana Badarla
    Ravi Bhandari
    CCF Transactions on Pervasive Computing and Interaction, 2023, 5 : 255 - 275
  • [36] Stress Detection Using Context-Aware Sensor Fusion From Wearable Devices
    Rashid, Nafiul
    Mortlock, Trier
    Al Faruque, Mohammad Abdullah
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (16) : 14114 - 14127
  • [37] Sensor-Fusion Walking-in-Place Interaction Technique using Mobile Devices
    Kim, Ji-Sun
    Gracanin, Denis
    Quek, Francis
    IEEE VIRTUAL REALITY CONFERENCE 2012 PROCEEDINGS, 2012, : 39 - 42
  • [38] Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks
    Wei, Xijia
    Wei, Zhiqiang
    Radu, Valentin
    SENSORS, 2021, 21 (22)
  • [39] Orientation estimating in a non-modeled aerial vehicle using inertial sensor fusion and machine learning techniques
    Fonnegra, Ruben
    Goez, German
    Tobon, Andres
    REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL, 2019, 16 (04): : 415 - 422
  • [40] Gait Motion Analysis using Optical and Inertial Sensor Fusion to Design Human Kinetic Energy Harvesting Systems
    Kroening, Oliver
    Rothe, Hendrik
    NOVEL OPTICAL SYSTEMS DESIGN AND OPTIMIZATION XX, 2017, 10376