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    <identifier>10.57760/sciencedb.10273</identifier>
    <datestamp>2023-08-17T09:21:42Z</datestamp>
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  <dc:date>2023-08-17</dc:date>
  <dc:title>Sonar based underwater vehicle dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.10273</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset are obtained from a BlueROV underwater vehicle in an indoor tank for the research of underwater perception, featuring ground-truth pose trajectories obtained from a motion capture system(MCS). In particular, we teleoperated the BlueROV and recorded readings from various sensors at $10$--$100$~Hz, including a high-resolution multibeam imaging sonar, an inertial measurement unit, and a Doppler velocity log (which also provides depth measurements). In addition, the underwater motion capture system provided the ground-truth trajectories of the BlueROV at $53$~Hz, which is the key enabler to effectively quantify the performance of underwater simultaneous localization and mapping (SLAM) algorithms.The dataset contains three folders and a configuration file. Each folder contains a Rosbag dataset, which are circle, line and L-shape trajectory data respectively. Configuration file is the transformation matrix between each sensor. Our dataset was collected on Ubuntu 20.04 with ROS version noetic 1.15.14.</dc:description>
  <dc:subject>Sonar Image; SLAM; underwater vehicle</dc:subject>
  <dc:creator>HaowenGao</dc:creator>
  <dc:creator>XiaofengChen</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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