3DMOT using PolyMOT Integrated Poly-MOT [Paper] for 3D Multi-Object Tracking into the self-driving stack as part of the Autonomous Vehicle Laboratory (AVL) at UCSD Exploring the combined application of motion prediction models such as PGPNet and HiVT, and Multi-Hypothesis Tracking (MHT) on the nuScenes dataset to enhance object tracking performance in high occlusion scenarios PolyMOT tracking on AVL’s UCSD campus dataset