Mengxiang Yang

LMH-MOT : A Light Multiple Hypothesis Framework for 3D Multi-Object Tracking

3D multi-object tracking (3D MOT) is a key area in the field of autonomous driving. In systems that track by detection, the detection results of deep learning models will inevitably have FP(False Positives) and FN(False Nagatives), and detector always cannot continuously and accurately detect target