| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| SLAM | M3DGR | Average Rank1.3 | 68 | |
| LiDAR-inertial Odometry | M3DGR Livox Mid360 v1.0 (test) | APE0.161 | 30 | |
| LiDAR-inertial Odometry | M3DGR Livox AVIA v1.0 (test) | APE0.102 | 30 | |
| Trajectory Estimation | M3DGR (Outdoor04) | ATE RMSE (m)0.13 | 6 | |
| Trajectory Estimation | M3DGR (Outdoor01) | ATE RMSE (m)0.11 | 6 | |
| Trajectory Estimation | M3DGR (Varying-illu05) | ATE RMSE (m)0.09 | 6 | |
| Trajectory Estimation | M3DGR (Varying-illu04) | ATE RMSE (m)0.19 | 6 | |
| Trajectory Estimation | M3DGR (Varying-illu03) | ATE RMSE (m)0.23 | 6 | |
| Absolute Trajectory Error Estimation | M3DGR (Longtime01) | ATE RMSE (m)4.3 | 5 | |
| Trajectory Estimation | M3DGR (Dark02) | ATE RMSE (m)0.18 | 5 | |
| Trajectory Estimation | M3DGR (Dark01) | ATE RMSE (m)0.31 | 5 | |
| LiDAR Odometry | M3DGR corr2 sequence | End-to-End Error1.843 | 5 | |
| Absolute Trajectory Error Estimation | M3DGR (Longtime02) | ATE RMSE (m)2.8 | 4 | |
| LiDAR Odometry | M3DGR (corr1 sequence) | End-to-End Error1.036 | 4 |