Corpus ID: 236447690

DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization

@article{Su2021DVDetE3,
  title={DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization},
  author={Zhaoyu Su and Pin Siang Tan and Yu-Hsing Wang},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12707}
}
  • Zhaoyu Su, Pin Siang Tan, Yu-Hsing Wang
  • Published 2021
  • Computer Science
  • ArXiv
In this work, we propose a novel two-stage framework for the efficient 3D point cloud object detection. Instead of transforming point clouds into 2D bird eye view projections, we parse the raw point cloud data directly in the 3D space yet achieve impressive efficiency and accuracy. To achieve this goal, we propose dynamic voxelization, a method that voxellizes points at local scale on-the-fly. By doing so, we preserve the point cloud geometry with 3D voxels, and therefore waive the dependence… Expand

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References

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