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  <eprint id='https://data.lancashire.ac.uk/id/eprint/586'>
    <eprintid>586</eprintid>
    <rev_number>9</rev_number>
    <eprint_status>archive</eprint_status>
    <userid>8084</userid>
    <dir>disk0/00/00/05/86</dir>
    <datestamp>2025-04-08 13:36:14</datestamp>
    <lastmod>2026-09-28 23:30:04</lastmod>
    <status_changed>2025-04-08 13:36:14</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <item_issues_count>1</item_issues_count>
    <creators>
      <item>
        <name>
          <family>Kuru</family>
          <given>Kaya</given>
        </name>
        <id>KKuru@uclan.ac.uk</id>
        <orcid>orcid.org/0000-0002-4279-4166</orcid>
      </item>
    </creators>
    <title>Magnetic Field Mapping of a Landmine Field Using a Magnetometer-integrated Drone and Intelligent Application</title>
    <ispublished>submitted</ispublished>
    <subjects>
      <item>F642</item>
      <item>I270</item>
    </subjects>
    <divisions>
      <item>2023sub_E_C_M_P</item>
    </divisions>
    <keywords>Landmine detection; unmanned aerial vehicles; ground penetrating radars; airborne demining; Aerial-supported detection of landmines; UAV-supported detection of landmines; magnetometer; magnetic field detection</keywords>
    <abstract>In this research, a small-scale drone with the required magnetometer sensor technologies and novel intelligent automated techniques -- Maggy, was built to automate and ease the procedures of cleaning landmines and UXO/IDE. The dataset with an MP4-formated video demonstrates how a magnetometer-integrated autonomous drone can map the magnetic field of a landmine region effectively and efficiently using an intelligent application through near real-time data streaming.</abstract>
    <date>2024-09-27</date>
    <date_type>submitted</date_type>
    <publisher>IEEE Dataport</publisher>
    <official_url>https://ieee-dataport.org/documents/magnetic-field-mapping-landmine-field-using-magnetometer-integrated-drone-and-intelligent</official_url>
    <data_type>collection</data_type>
    <researchclusters>
      <item>2023Inst_InETI</item>
    </researchclusters>
    <contact_email>rdmsupport@lancashire.ac.uk</contact_email>
    <contact_details>
      <role>Research Associate</role>
      <name>
        <family>Kuru</family>
        <given>Kaya</given>
      </name>
      <id>KKuru@uclan.ac.uk</id>
    </contact_details>
    <related_res_rich>
      <item>
        <title>Magnetic Field Mapping of a Landmine Field Using a Magnetometer-integrated Drone and Intelligent Application</title>
        <res_type>ds_ext</res_type>
        <url>https://doi.org/10.21227/ebny-b828</url>
      </item>
    </related_res_rich>
  </eprint>
</eprints>
