Show HN: DRS-VPT. Localize a photo in a 3D point cloud without an initial pose
Hi HN, I work on multi-modal sensing for robotics. We built DRS-VPT to estimate a camera's 6-DoF pose in a 3D map from a single photo and a 3D point cloud, without an initial guess or known camera intrinsics. The interesting part is generalisation: the same model works across driving LiDAR scans (KITTI, nuScenes), iPhone photos in indoor scans, and SFM maps. We provide the code, model and weights, but you can also try it out at https://huggingface.co/spaces/fulkast/drs-vpt-demo Happy to answer q
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Recorded metrics
points · 3 votes
2026-11-12 20:45:35.775Z
cumulative since publication
Research analysis
Project record
Repository: ori-drs/drs-vpt. Source account: Hi HN, I work on multi-modal sensing for robotics. We built DRS-VPT to estimate a camera's 6-DoF pose in a 3D map from a single photo and a 3D point cloud, without an initial guess or known camera intrinsics. The interesting part is generalisation: the same model works across driving LiDAR scans (KITTI, nuScenes), iPhone photos in indoor scans, and SFM maps. We provide the code, model and weights, but you can also try it out at https://huggingface.co/spaces/fulkast/drs-vpt-demo Happy to answer q
Observed adoption & comparisons
Source votes: 3 votes (Nov 12, 2026 UTC; cumulative since publication) Recent records to compare: “Alishahryar1/free-claude-code” (GitHub Trending, Nov 13, 2026); “openai/codex-security” (GitHub Trending, Nov 13, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
Adoption decision
Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.
Unverified requirements
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