RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
Open paper
Benchmark
Model
Rank
Results
3d-multi-object-tracking-on-waymo-open-1
RobMOT
#1
MOTA/L2: 0.7466
MOTA/L1: 0.7772
FP/L2: 0.0703
multiple-object-tracking-on-kitti-test-online
RobMOT
#1
HOTA: 81.76
MOTA: 91.02
IDSW: 7
Rank counts only results with a code link.