Self-Collected Dataset
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Visual-Inertial Initialization | Self-collected dataset | Success Rate (%)90 | 7 | |
| Trajectory estimation | Self-collected dataset Motion Degradation | ARE (°)0.162 | 6 | |
| Trajectory estimation | Self-collected dataset Sufficient Motion scenario | ARE (°)0.151 | 6 | |
| Talking Head Synthesis | Self-Collected Dataset 50 identities | FID32.77 | 6 | |
| Radar Point Cloud Detection | Self-Collected Dataset Outdoor | F-score49 | 5 | |
| Radar Point Cloud Detection | Self-Collected Dataset Indoor | F-score45 | 5 | |
| World Model Generation | Self-collected Dataset View 2 (test) | FID17.5 | 4 | |
| I2P registration | Self-collected dataset | IR57.3 | 4 | |
| Visual Speech Recognition | Self-Collected Dataset Mandarin (test) | CER32.22 | 4 | |
| LiDAR-Inertial Odometry | self-collected dataset (Seq. 5) | Time Consumption13.8 | 3 | |
| LiDAR-Inertial Odometry | self-collected dataset (Seq. 4) | Time Consumption16.8 | 3 | |
| LiDAR-Inertial Odometry | self-collected dataset (Seq. 3) | Time Consumption14.6 | 3 | |
| LiDAR-Inertial Odometry | self-collected dataset (Seq. 2) | Time Consumption13.4 | 3 | |
| LiDAR-Inertial Odometry | self-collected dataset (Seq. 1) | Time Consumption (Seq. 1)14.6 | 3 | |
| World Model Generation | Self-collected Dataset View 1 (test) | FID22 | 3 | |
| Hand-eye Calibration | Self-Collected Dataset MoCap-IMU (test) | Metric- | 0 |
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