Search Results for "kalman filter"
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Showing 26 open source projects for "kalman filter"
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SigPack
SigPack - A signal processing library using Armadillo
SigPack is a C++ signal processing library using the Armadillo library as a base. The API will be familiar for those who has used IT++ and Octave/Matlab. -
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Iperf 2
A means to measure network responsiveness and throughput
Iperf here is a means of measuring networks - capacity & latency (including ECN) over sockets both TCP and UDP. The goals include maintaining an active iperf code base across a broad set of platforms and operating systems. This is a multi-threaded design that scales with the number of CPUs or cores within a system. It supports both high impact and low impact techniques to obtain and report network performance. Current release: 2.2.1, Nov 4th, 2024 About iperf 2 and iperf3: Read... -
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sequoia-dap
SEQUOIA ocean data assimilation platform (a SIROCCO suite tool)
...The program is multi-grid (finite differences or finite elements), multi-algebra (plug-in analysis kernels), multi-model (simple standardized interface). The program supports reduced-order data assimilation methods, as well as Ensemble assimilation approaches such as the Ensemble Kalman Filter. Recent additions include extensions towards simultaneous assimilation and downscaling (AMICO project), and a toolbox for ensemble assessment (SCRUM project). *Please note that due to frequent updates the code is only available via the svn repository. Please get in touch with us to obtain access.* -
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AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking
...The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. This relatively simple design allows the tracker to achieve very high processing speeds while maintaining competitive tracking accuracy. The project also introduces new evaluation metrics specifically designed for assessing performance in 3D tracking benchmarks. ... -
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PCRaster
PCRaster environmental modeling software
...Two scripting languages (PCRcalc and Python) include a rich set of spatial operations for manipulating and analysing raster maps. A Python framework supports Monte Carlo simulations and data assimilation (Ensemble Kalman Filter and Particle Filter). The Aguila tool allows for the interactive visualisation of stochastic spatio-temporal data. -
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Kalman and Bayesian Filters in Python
Kalman Filter book using Jupyter Notebook
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions. Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. ... -
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kalman-cpp
Implementation of the Kalman filter and Extended Kalman filter in C++
Implementation of the Kalman filter and Extended Kalman filter in C++ -
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(RoboSim) Robot Simulator
(RoboSim) Java based Robot Localization and Path Planner Simulator.
...The source code is available on Github where you can find latest development and up-to-date documentation. Source : https://github.com/habsoft/robosim Blog : https://robosimblog.wordpress.com Note : Use jre 1.7 to run it. 1.Histogram Filter 2.Histogram Filter with Sonar Range Finder (Experimental) 3.Kalman Filter 4.Particles Filter 5.Path Planning 6.Path Smoothing 7.PID Controller Path Planning Algorithms 1.BFS 2.DFS 3.A Star 4. Dynamic Programming Heuristics i. Euclidean Distance ii. Euclidean Distance(+) iii. Euclidean Distance(*) iv. ... -
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Python Control Systems Library
Feedback control system analysis and design
The Python Control Systems Library, python-control, is a python module that implements basic operations for analysis and design of feedback control systems. This homepage for this project is at http://python-control.org and the code base in maintained at https://github.com/python-control/python-control. Information on this page is out of date, but left here for posterity. -
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Motion Capture Data Acquisiton Tool
Human body movement data acquisition, processing and visualization
...There are different SW blocks including: unit interconnection, data calibration, data processing and visualization. The data are calibrated by six-position test or two-step algorithm and processed by Extended Kalman Filter or Unscented Kalman Filter. The final data are fitted to the human body model including its limitations and the visualization is performed in OpenGL. System function is illustrated by: http://www.youtube.com/watch?v=Tpy9Vtelppk . -
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This application allows to track multiple agents in a indoor wireless sensor network through an implementation of a variant extended Kalman filter.
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Moving Target Detection 2D
Moving target detection in 2D using Kalman Filter
Moving target detection in 2D using Kalman Filter written in JS for demo purposes. -
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CUSPKalman
Particle tracking in inhomogeneous B field based on Kalman filter
Particle tracking in inhomogeneous B field based on Kalman filter -
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EMGU Kalman Filter
Kalman Filter for EMGU Image Processing Applications
The Kalman filter is an algorithm which operates recursively on streams of noisy input data to produce a statistically optimal estimate of the underlying system state (Original Paper). The filter is named for Rudolf (Rudy) E. Kálmán, one of the primary developers of its theory. More information is available at Wikipedia, the Kalmn Filter was derived to solve the Wiener filter problem. -
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libnxter is a collection of robot utilities for lego mindstorms nxt robotics kit, written in NXC language, and currently implements: two wheel drive vehicle, odometer, motor control, sonar, integer matrix algebra, vectors, PID control and kalman filter.
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A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.
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ManFieLd is an easy-to-use framework to develop filtering applications for Distributed System, relieving the burden of the developer to write the support code for the filtering methods.
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This project has been renamed to oooark. Old file releases will still be available here. uvsim is a project focused on enabling algorithm development for unmanned systems. It is being constructed to provide an identical interface to simulations and h
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It consists of two parts...denial of service attack and kalman filter...source code is written in C...
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LibNav is a library providing general algorithms for navigation and positioning. It includes datum conversions, reference systems conversions, vector and matrix operations, Least-Mean-Squares, Kalman Filter, Runge-Kutta, statistical tools and more.
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JKalman is an Open Source Java implementation of Kalman filter. Kalman filter is an efficient computational (recursive) tool to estimate the dynamic state of a process in a way that minimizes the mean of error.
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An object-oriented MATLAB toolbox for nonlinear filtering. Includes algorithms for SIR and SIS particle filters as well as an algorithm for the Extended Kalman Filter (EKF). Several discrete-time models are available. Comes with an easy-to-use GUI.
