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  <dc:date>2026-10-08</dc:date>
  <dc:title>A multimodal dataset for perception in real-world maritime navigation scenarios</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.35872</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>MarScenes3D is a multimodal maritime perception dataset collected from a moving vessel in real-world navigation scenarios, including coastal waterways, ports, anchorages, and open navigation routes. It provides synchronized surround-view images, LiDAR point clouds, ego-vessel motion data, and sensor calibration parameters, together with 2D and 3D object annotations, tracking identities, and structured language descriptions. The dataset can support research on maritime object detection, multi-object tracking, and multimodal scene understanding.</dc:description>
  <dc:subject>Maritime perception; 3D object detection; Multi-object tracking; Multimodal dataset</dc:subject>
  <dc:creator>Yutang Wang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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