Popular GitHub Repositories for Kalman Filter

State Space Models library in JAX

[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 Variational Auto-Encoder

A method about optimizing the facial landmark detection based on Kalman Filter, Optical Flow and Dlib

Code for the paper "Outlier-robust Kalman Filtering through Generalised Bayes" presented at ICML 2024

Self Driving Car Nanodegree Offered By Udacity

A unique time series library in Python that consists of Kalman filters (discrete, extended, and unscented), online ARIMA, and time difference model.

PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".

AV Projects with the CARLA simulator

Unscented Kalman Filter (in C++) for Self-Driving Car (AV) Project. Using Sensor Fusion, combines noisy data from Radar and LIDAR sensors on a self-driving car to predict a smooth position for seen objects.

Probabilistic framework for behavior prediction in autonomous vehicles

Towards fully autonomous driving (WIP)

Course submission material for Lidar point cloud based 3D Detection using Yolo, followed by Sensor Fusion and Camera Based Tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree

Решение задач по анализу временных рядов: детекция пиков QRS на сигналах ЭКГ с помощью ML, прогнозирование заболеваемости COVID с помощью LSTM и др.

A curated list of awesome Kalman filter papers ,articles , applications, software and resources

This repository is created based on the projects opened at the Coursera Self-driving Cars specialization course, published by Toronto University. https://www.coursera.org/specializations/self-driving-cars

Course submission material for Sensor Fusion and Camera based tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree.

Bayesian filters and smoothers in JAX.

Scheduling Policy Optimization using Reinforcement Learning and Extended Kalman Filtering

Official Implementation of Q-Learning with Kalman filter for Self Balancing Robot Implementation