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Lidar Odometry on KITTI-odometry (sequences 00-10)

0.27KITTI-metricGraph-based Online Lidar Odometry
0.19320.71161.231.7484Mar 27, 2025

Evaluation results

MethodLinks
Graph-based Online Lidar OdometrySequence=06, FPS=19.732025.030.270.43—————————————
Graph-based Online Lidar OdometrySequence=05, FPS=19.732025.030.280.43—————————————
KISS-ICPSequence=06, FPS=99.732025.030.30.48—————————————
KISS-SLAMSequence=06, FPS=57.732025.030.310.5—————————————
Graph-based Online Lidar OdometrySequence=04, FPS=19.732025.030.360.42—————————————
Graph-based Online Lidar OdometrySequence=07, FPS=19.732025.030.360.53—————————————
KISS-SLAMSequence=07, FPS=57.732025.030.370.52—————————————
KISS-ICPSequence=07, FPS=99.732025.030.380.53—————————————
KISS-SLAMSequence=04, FPS=57.732025.030.390.42—————————————
KISS-ICPSequence=04, FPS=99.732025.030.40.43—————————————
KISS-SLAMSequence=05, FPS=57.732025.030.40.54—————————————
KISS-ICPSequence=05, FPS=99.732025.030.430.51—————————————
MAD-ICPSequence=06, FPS=11.092025.030.430.39—————————————
MAD-ICPSequence=07, FPS=11.092025.030.440.54—————————————
Graph-based Online Lidar OdometrySequence=09, FPS=19.732025.030.490.6—————————————
MAD-ICPSequence=05, FPS=11.092025.030.510.45—————————————
Graph-based Online Lidar OdometrySequence=02, FPS=19.732025.030.540.78—————————————
KISS-SLAMSequence=09, FPS=57.732025.030.550.62—————————————
Graph-based Online Lidar OdometrySequence=00, FPS=19.732025.030.560.82—————————————
KISS-ICPSequence=09, FPS=99.732025.030.570.61—————————————
Graph-based Online Lidar OdometrySequence=mean, FPS=19.732025.030.570.8—————————————
KISS-ICPSequence=02, FPS=99.732025.030.580.8—————————————
KISS-ICPSequence=10, FPS=99.732025.030.580.72—————————————
KISS-ICPSequence=00, FPS=99.732025.030.60.81—————————————
KISS-SLAMSequence=00, FPS=57.732025.030.60.85—————————————
KISS-SLAMSequence=10, FPS=57.732025.030.60.72—————————————
KISS-ICPSequence=mean, FPS=99.732025.030.610.82—————————————
KISS-ICPSequence=03, FPS=99.732025.030.620.81—————————————
MAD-ICPSequence=04, FPS=11.092025.030.630.52—————————————
KISS-SLAMSequence=02, FPS=57.732025.030.640.81—————————————
KISS-SLAMSequence=mean, FPS=57.732025.030.640.84—————————————
Graph-based Online Lidar OdometrySequence=03, FPS=19.732025.030.650.82—————————————
KISS-SLAMSequence=03, FPS=57.732025.030.670.84—————————————
Graph-based Online Lidar OdometrySequence=10, FPS=19.732025.030.670.74—————————————
Graph-based Online Lidar OdometrySequence=01, FPS=19.732025.030.740.83—————————————
MAD-ICPSequence=00, FPS=11.092025.030.760.86—————————————
MAD-ICPSequence=02, FPS=11.092025.030.80.79—————————————
KISS-ICPSequence=01, FPS=99.732025.030.810.83—————————————
KISS-ICPSequence=08, FPS=99.732025.030.821.35—————————————
Graph-based Online Lidar OdometrySequence=08, FPS=19.732025.030.841.33—————————————
KISS-SLAMSequence=01, FPS=57.732025.030.850.83—————————————
MAD-ICPSequence=mean, FPS=11.092025.030.860.85—————————————
KISS-SLAMSequence=08, FPS=57.732025.030.91.36—————————————
MAD-ICPSequence=01, FPS=11.092025.030.990.84—————————————
MAD-ICPSequence=09, FPS=11.092025.031.170.74—————————————
MAD-ICPSequence=08, FPS=11.092025.031.221.41—————————————
MAD-ICPSequence=10, FPS=11.092025.031.240.89—————————————
MAD-ICPSequence=03, FPS=11.092025.032.192.18—————————————
CT-ICPType=dense points2026.04———0.480.490.760.520.720.390.250.270.310.810.490.5
D-Compressbits per point (bpp)=1.552026.03——1.4————————————
Dracobits per point (bpp)=1.552026.03——4.2————————————
F-LOAMType=feature points2026.04———0.790.781.430.920.860.710.570.650.631.120.770.84
G-PCCbits per point (bpp)=1.552026.03——2————————————
H.265bits per point (bpp)=1.552026.03——2.7————————————
Hi-LOAMType=neural implicit2026.04———0.450.510.630.530.610.310.310.310.350.810.490.48
IMLS-SLAMType=implicit model2026.04———0.530.50.820.530.680.330.320.330.330.80.550.52
JPEG2000bits per point (bpp)=1.552026.03——3.7————————————
KISS-ICPType=dense points2026.04———0.560.520.630.510.660.360.310.260.330.820.510.5
LeGO-LOAMType=feature points2026.04———2.212.1713.42.172.341.271.281.061.121.991.972.49
Litamin-LOType=normal distribution2026.04———0.80.782.10.950.961.050.550.550.481.010.690.88
LONetType=supervised2026.04———1.81.471.361.521.030.511.040.711.72.121.371.33
Mesh-LOAMType=mesh2026.04———0.560.530.640.520.630.410.340.350.310.820.470.51
MULLSType=feature points2026.04———0.590.560.640.550.710.410.30.30.380.780.480.52
NeRF-LOAMType=neural implicit2026.04———2.081.342.07—2.221.741.4—1—1.631.69
PIN-LOType=neural implicit2026.04———0.50.550.680.540.760.220.30.350.340.80.540.51
PumaType=mesh2026.04———1.381.463.381.861.61.631.20.880.721.441.511.55
PWCLONetType=supervised2026.04———1.690.780.670.860.760.370.450.270.61.260.790.77
Raw data2026.03——0.6————————————
RT-STbits per point (bpp)=1.552026.03——3.6————————————
SLAMeshType=mesh2026.04———0.650.771.250.770.640.50.520.530.360.870.570.68
SuMa-LOType=surfels2026.04———0.710.721.711.060.660.380.50.410.551.020.480.75
SuMa++Type=surfels2026.04———0.660.641.610.670.370.40.460.341.10.470.7
TransLOType=supervised2026.04———1.180.851.160.8810.340.630.730.551.290.950.87
VG-ICPType=dense points2026.04———0.952.162.380.990.670.550.450.240.991.740.951.1
WebPbits per point (bpp)=1.552026.03——5.8————————————