Paper.pdf

1903.01568.pdf
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🔗 Source: arxiv.org
📊 Size: 3.1 MB
📄 Pages: 6 pages
⬇️ Downloads: 37

Summary

The Honda Research Institute 3D Dataset (H3D) is a large-scale full-surround 3D multi-object detection and tracking dataset collected using a 3D LiDAR scanner, comprising 160 crowded and highly interactive traffic scenes with 1 million labeled instances in 27,721 frames. H3D aims to stimulate research on full-surround 3D multi-object detection and tracking in crowded urban scenes, addressing the limitations of existing datasets such as KITTI, which lacks sufficient data and labels for challenging scenes. A labeling methodology is proposed to speed up the annotation cycle, and a standardized benchmark is created to evaluate full-surround 3D multi-object detection and tracking algorithms.

Description

The Honda Research Institute 3D Dataset (H3D) is a large-scale full-surround 3D multi-object detection and tracking dataset collected using a 3D LiDAR scanner,...

Technical Information

  • File Format: PDF
  • File Size: 3.1 MB
  • Pages: 6
  • Language: EN
  • Total Downloads: 37
  • Last Updated: 6 days ago

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