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Official Python Implementation for "3D Multi-Object Tracking
...The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalmanfilter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. This relatively simple design allows the tracker to achieve very high processing speeds while maintaining competitive tracking accuracy. The project also introduces new evaluation metrics specifically designed for assessing performance in 3D tracking benchmarks. ...
The Python Control Systems Library, python-control, is a python module that implements basic operations for analysis and design of feedback control systems.
This homepage for this project is at http://python-control.org and the code base in maintained at https://github.com/python-control/python-control.
Information on this page is out of date, but left here for posterity.