Hidden
LiDAR — Hidden Tier
(5 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| timing_jitter | -35.0 – 115.0 | ps |
| beam_divergence | -0.07 – 0.23 | mrad |
| range_walk | -0.7 – 2.3 | cm |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Point Transformer + gradient | 0.671 | 27.19 | 0.863 | 0.77 | ✓ Certified | Zhao et al., ICCV 2021 |
| 2 | Bilateral Filter + gradient | 0.590 | 23.4 | 0.746 | 0.79 | ✓ Certified | Tomasi & Manduchi, ICCV 1998 |
| 3 | PnP-ADMM + gradient | 0.569 | 21.9 | 0.686 | 0.88 | ✓ Certified | Venkatakrishnan et al., 2013 |
| 4 | RandLA-Net + gradient | 0.496 | 19.95 | 0.596 | 0.79 | ✓ Certified | Hu et al., CVPR 2020 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%