ros-sensor-fusion-tutorial

Lightweight Python library for adding real-time multi-object tracking to any detector.

State Space Models library in JAX

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

[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 library

Kalman Filter implementation in Python using Numpy only in 30 lines.

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Automated, smooth, N'th order derivatives of non-uniformly sampled time series data

real time video stabilization using Kalman Filter

R code for Time Series Analysis and Its Applications, Ed 4