87 Open source projects that are alternatives of or similar to lidar_radar_fusion_ekf_ukf

Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar

Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.

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

Kalman Variational Auto-Encoder

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

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

Face Detection and tracking using CamShift, Kalman Filter, Optical Flow

Depth-Based Bayesian Object Tracking Library

Loosely coupled integration of GNSS and IMU

solution of exercises of the book "probabilistic robotics"

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

Kalman filter using C++ and Manif

Library for tracking-by-detection multi object tracking implemented in python

Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)

All Terrain Autonomous Quadruped

Contains coursera robotics specialization assignment codes

Bayesian multi-object tracking

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

Python Kalman filters vectorized as Single Instruction, Multiple Data

Generic Sensor Fusion Package for ROS

Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters

Unscented kalman filter (UKF) library in python that supports multiple measurement updates

C++ Library for INS-GPS Extended-Kalman-Filter (Error State Version)

Robotics Toolbox for MATLAB

Mad Location Manager is a library for GPS and Accelerometer data "fusion" with Kalman filter

Unscented Kalman Filter library for state and parameter estimation

If you can measure it, consider it predicted

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

State estimation and filtering algorithms in Go

Repository for Eye Gaze Detection and Tracking

GPS altimeter/variometer with LCD display, routes with waypoints, data/gps track logging, bluetooth NMEA sentence transmission, wifi AP + webpage configuration

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

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

Udacity Self-Driving Car Engineer Nanodegree projects.

My collection of implementations of adaptive filters.

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.

Vision-based Robot 3D Pose and Velocities Estimations

Sequential Monte Carlo in python

Go tools for flying

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

A simple Kalman Filter built in TensorFlow

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

Pitch tracking in real-time with the Kalman filter

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

A small 2D robot localization game using Kalman filtering written in C++11

This package includes basic tools for time series analysis, compatible with incomplete data.

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

Lightweight Python library for adding real-time 2D object tracking to any detector.

A compact Unscented Kalman Filter (UKF) library for Teensy4/Arduino system (or any real time embedded system in general)

Some Python Implementations of the Kalman Filter

Python sample codes for robotics algorithms.

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 数学函数拟合

Implement Kalman filter for your Arduino projects

Collection of notebooks about quantitative finance, with interactive python code.

Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for the 2015 IEEE Signal Processing Cup (SP Cup) competition. The traces are stored in folder 'DATABASE'. Please cite this publication when referencing this material: "Measuring Heart Rate During Physical Exercise by …

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

6-axis(3-axis acceleration sensor+3-axis gyro sensor) IMU fusion with Extended Kalman Filter.

This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.

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