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A Standalone Millimeter-Wave SLAM System for Indoor Search and Rescue

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Sensing Technology (ICST 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1035))

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Abstract

Real-time location data offers great insight to achieve many intelligent and context-aware applications, such as personalised location-aware services, navigation, surveillance, and search and rescue. While outdoor location can be easily collected by the global positioning system (GPS), indoor location data remains challenging to collect and faces several challenges such as cost, pre-configured infrastructures, and limited long-term accuracy. In this study, a novel Simultaneous Localization and Mapping (SLAM) system is proposed and implemented targeting indoor search and rescue application, using the state-of-the-art millimeter-wave (mmWave) radar sensor. The proposed system is completely self-contained and requires no prior installation or configuration of any other devices. A 2-dimensional map and movement trajectory data is produced as the output of the SLAM system. Typical straight line and L-shape pathway experiments have been conducted. In both cases, the proposed system is capable of achieving submeter accuracy, which are promising results demonstrating its ability to provide accurate SLAM for indoor applications.

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Authors and Affiliations

  1. The University of Auckland, Auckland, New Zealand

    Huyue Wang & Kevin I-Kai Wang

Authors
  1. Huyue Wang
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  2. Kevin I-Kai Wang
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Correspondence to Huyue Wang .

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Editors and Affiliations

  1. School of Computer and Information Sciences, University of Hyderabad, Hyderabad, Telangana, India

    Nagender Kumar Suryadevara

  2. Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India

    Boby George

  3. Macquarie University, Sydney, NSW, Australia

    Krishanthi P. Jayasundera

  4. School of Engineering, Macquarie University, Sydney, NSW, Australia

    Subhas Chandra Mukhopadhyay

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Wang, H., Wang, K.IK. (2023). A Standalone Millimeter-Wave SLAM System for Indoor Search and Rescue. In: Suryadevara, N.K., George, B., Jayasundera, K.P., Mukhopadhyay, S.C. (eds) Sensing Technology. ICST 2022. Lecture Notes in Electrical Engineering, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-031-29871-4_17

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  • DOI: https://doi.org/10.1007/978-3-031-29871-4_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-29870-7

  • Online ISBN: 978-3-031-29871-4

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