Dev
LiDAR — Dev Tier
(5 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| timing_jitter | -60.0 – 90.0 | ps |
| beam_divergence | -0.12 – 0.18 | mrad |
| range_walk | -1.2 – 1.8 | cm |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Point Transformer + gradient | 0.730 | 29.7 | 0.912 | 0.84 | ✓ Certified | Zhao et al., ICCV 2021 |
| 2 | Bilateral Filter + gradient | 0.628 | 24.69 | 0.792 | 0.82 | ✓ Certified | Tomasi & Manduchi, ICCV 1998 |
| 3 | PnP-ADMM + gradient | 0.605 | 23.41 | 0.747 | 0.86 | ✓ Certified | Venkatakrishnan et al., 2013 |
| 4 | RandLA-Net + gradient | 0.593 | 23.18 | 0.738 | 0.83 | ✓ Certified | Hu et al., CVPR 2020 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%