(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.

Implementation of PF-Track

[ICRA2024] Official code of the paper "Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter"

A summary and list of open source 3D multi object tracking and datasets at this stage.

[CVPR 2023] PF-Track (3D MOT for Autonomous Driving)

This is a 3D multi-object tracking algorithm using 2D bounding box detection from multiple cameras viewing the scene at different angles. The core algorithm is implemented in C++ with Python wrapper.