Udacity Self-Driving Car Engineer Nanodegree projects.

A collection of some of the neat math and physics tricks that I've collected over the last few years.

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Some Python Implementations of the Kalman Filter

solution of exercises of the book "probabilistic robotics"

IMU - FreeIMU Library Zero Drift, Altitude & LSM303 Heading Stability

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波

Javascript based Kalman filter for 1D data

A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

HCKalmanFilter is Swift implementation of Kalman filter algorithm intended to solve problem with GPS tracking

Unscented Kalman Filter library for state and parameter estimation

Repository for Eye Gaze Detection and Tracking

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

An unscented Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

An in-depth step-by-step tutorial for implementing sensor fusion with robot_localization! 🛰

Smoothen rx value streams for e.g. sensor data using kalman filter.

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

Kalman Variational Auto-Encoder

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

Python Kalman filters vectorized as Single Instruction, Multiple Data

State estimation and filtering algorithms in Go

real time video stabilization using Kalman Filter

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

Package implementing common state-space routines.

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

Depth-Based Bayesian Object Tracking Library

ROS package of Depth-Based Bayesian Object Tracking

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

Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.

Sequential Monte Carlo in python