Lightweight Python library for adding real-time multi-object tracking to any detector.
A library for differentiable robotics.
A Python package for probabilistic state space modeling with JAX
Library for tracking-by-detection multi object tracking implemented in python
Sequential Monte Carlo in python
Kalman filter library
[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.
Kalman Filter implementation in Python using Numpy only in 30 lines.
simple and efficient python implemention of a series of adaptive filters. including time domain adaptive filters(lms、nlms、rls、ap、kalman)、nonlinear adaptive filters(volterra filter、functional link adaptive filters)、frequency domain adaptive filters(frequency domain adaptive filter、frequency domain kalman filter) for acoustic echo cancellation.
Bayesian multi-object tracking
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Automated, smooth, N'th order derivatives of non-uniformly sampled time series data
Python Kalman filters vectorized as Single Instruction, Multiple Data
A state estimation package for Lie groups!
All Terrain Autonomous Quadruped
Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.
Robust Kalman filter with adaptive noise statistics estimation.
Kalman Variational Auto-Encoder
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