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Survey on inertial sensor-based ILS for smartphone users

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Abstract

Indoor localization systems are extensively used to develop positioning in various public buildings, and warehouses, for localization and navigation of users, robots and/or tracking assets. Researchers have developed and worked on variegated technologies such as, Bluetooth Low Energy, motion planning, Received Signal Strength based fingerprinting and mapping for achieving localization. Inertial Measurement Units (IMUs) are widely used in navigation that utilizes accelerometer, magnetometer, and gyroscope to sense acceleration, magnetic field, and angular rate respectively for navigation. IMUs are not only available as wearable sensors but also present in smartphones that are widely carried by users nowadays. Thus, ubiquitous localization systems can be designed with smartphone based IMU sensors. Existing survey articles on indoor localization has mostly focused on the different technologies available, and the different approaches utilized. However, existing works on IMU sensing based user localization methods need special attention as they can be extended toward a ubiquitous localization system that requires minimal fingerprinting effort from the public buildings. Accordingly, the article focuses on providing in-depth knowledge of the working procedure and discusses the challenges smartphone IMU faces. The article also surveys the fusion-based techniques used in indoor positioning and presents a comparative study of the various approaches.

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Notes

  1. BMI270- https://www.bosch-sensortec.com/media/boschsensortec/downloads/product_flyer/bst-bmi270-fl000.pdf Sensor Specification.

  2. BMI088- https://download.mikroe.com/documents/datasheets/BMI088_Datasheet.pdf Sensor Specification.

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Authors and Affiliations

  1. Department of CSE(AIML), Institute of Engineering and Management, Kolkata, India

    Ayan Kumar Panja

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

    Ayan Kumar Panja, Chandreyee Chowdhury & Sarmistha Neogy

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  1. Ayan Kumar Panja
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Panja, A.K., Chowdhury, C. & Neogy, S. Survey on inertial sensor-based ILS for smartphone users. CCF Trans. Pervasive Comp. Interact. 4, 319–337 (2022). https://doi.org/10.1007/s42486-022-00098-2

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