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    <datestamp>2022-10-27T17:25:15Z</datestamp>
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  <dc:date>2022-10-27</dc:date>
  <dc:title>Lidar point cloud</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.05200</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The results of our processing of the SemanticKITTI dataset. Every seven rows were the data of an obstacle vehicle. In each set of data, the first row was the convex hull extraction result of the obstacle vehicle, and the second row to the sixth row corresponded to the five results of the pose estimation bounding box, and the seventh row was the evaluation index of these pose estimation.</dc:description>
  <dc:subject>autonomous driving; Lidar; point cloud</dc:subject>
  <dc:creator>Hanqi Wang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:type>dataset</dc:type>
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