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          <given>Anum</given>
        </name>
        <id>aap711@student.bham.ac.uk</id>
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          <given>Marina</given>
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      <item>Jaguar Land Rover (JLR)</item>
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    <title>COSMOS &apos;Adaptive Cruise Control (ACC) dataset&apos; for co-existence/ interference analysis and simultaneous scene representation by automotive radar and video</title>
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    <note>The objectives of the described radar trials were to conduct radar measurements at the background of interference in the 76 – 81 GHz frequency band to: • Estimate the impact of interference in an adaptive cruise control (ACC) and cross-traffic alert (CTA) scenarios. • Analyse radar field of view shadowing due to a close target. • Identify an oncoming vehicle from the received interference which is otherwise blind due to radar field of view (FoV) obstruction. • Estimate the multipath interference in a reflective scenario. Repository Overview: The full dataset collected during the trails is over 2 TB. Depending upon the scenario and data collection duration, the size of raw data captured from INRAS Radarlog varies from 1 GB to 7 GB whereas for INRAS Radarbook, it varies from 1 GB to 4 GB. Therefore, due to extremely large files sizes, only the most suitable representative of the defined use-cases is included in the repository. Moreover, the full post-processed radar imagery is only shown for a few example cases. Additional data may be available on request.</note>
    <abstract>The objectives of the described radar trials were to conduct radar measurements at the background of interference in the 76 – 81 GHz frequency band to: 
• Estimate the impact of interference in an adaptive cruise control (ACC) scenarios.
• Analyse radar field of view shadowing due to a close target.
• Estimate the multipath interference in a reflective scenario. 

Repository Overview: The full dataset collected during the trails is over 2 TB. Depending upon the scenario and data collection duration, the size of raw data captured from INRAS Radarlog varies from 1 GB to 7 GB. Therefore, due to extremely large files sizes, only the most suitable representative of the defined use-cases is included in the repository. Moreover, the full post-processed radar imagery is only shown for a few example cases. Additional data may be available on request.</abstract>
    <date>2022-03-01</date>
    <date_type>published</date_type>
    <publisher>University of Birmingham</publisher>
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    <data_type>Dataset</data_type>
    <contact_email>research-data@contacts.bham.ac.uk</contact_email>
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    </department>
    <funders>
      <item>other</item>
    </funders>
    <other_funders>
      <item>Innovate UK</item>
    </other_funders>
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      <item>COSMOS/ 104526</item>
    </projects>
    <data_protection_legislation>yes</data_protection_legislation>
    <funder_reqs>yes</funder_reqs>
    <contractual_reqs>yes</contractual_reqs>
    <university_reqs>TRUE</university_reqs>
    <contact_details>
      <role>Principle Investigator</role>
      <name>
        <family>Gashinova</family>
        <given>Marina</given>
      </name>
      <id>M.S.Gashinova@bham.ac.uk</id>
    </contact_details>
    <collection_method>Extensive field trials performed at Horiba MIRA test faciltiy using timestamped radar, lidar, stereo camera and GPS/IMU system for precise ground truth.</collection_method>
    <language>en</language>
    <collection_date>
      <date_from>2021-11-15</date_from>
      <date_to>2021-11-19</date_to>
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