Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
LiDAR Odometry on MaiCity (Sequence 01)
Loading...
0.7
ATE RMSE (cm)
Hi-LOAM
0.208
3.529
6.85
10.171
Apr 2, 2026
ATE RMSE (cm)
Updated 16d ago
Evaluation Results
Method
Method
Links
ATE RMSE (cm)
Hi-LOAM
Sensor=Velodyne HDL-64
2026.04
0.7
PIN-SLAM
Sensor=Velodyne HDL-64
2026.04
0.9
Mesh-LOAM
Sensor=Velodyne HDL-64
2026.04
1.6
SLAMesh
Sensor=Velodyne HDL-64
2026.04
1.7
Puma
Sensor=Velodyne HDL-64
2026.04
5.8
SuMa
Sensor=Velodyne HDL-64
2026.04
6.1
F-LOAM
Sensor=Velodyne HDL-64
2026.04
6.2
NeRF-LOAM
Sensor=Velodyne HDL-64
2026.04
13
Feedback
Search any
task
Search any
task
