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1812.07179.pdf
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🔗 Source: arxiv.org
📊 Size: 4.12 MB
📄 Pages: 16 pages
⬇️ Downloads: 43

Summary

Researchers propose Pseudo-LiDAR, a method to convert image-based depth maps into LiDAR-like representations, allowing the use of existing LiDAR-based 3D object detection algorithms. This approach bridges the gap in 3D object detection for autonomous driving, achieving a 45.3% 3D average precision on the KITTI benchmark, a 350% improvement over the previous state-of-the-art image-based approach. The method suggests that the representation of 3D information, not the quality of the estimated depth, is the main cause of the performance gap between stereo-based and LiDAR-based 3D object detection.

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Researchers propose Pseudo-LiDAR, a method to convert image-based depth maps into LiDAR-like representations, allowing the use of existing LiDAR-based 3D...

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  • File Format: PDF
  • File Size: 4.12 MB
  • Pages: 16
  • Language: EN
  • Total Downloads: 43
  • Last Updated: 6 days ago

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