GitHub - ruslanmasinjila/ekf_simulator: OUTDATED: PLEASE USE multirobot_ekf

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
README.txt		README.txt
RunMe.m		RunMe.m
ekfPerformance.m		ekfPerformance.m
ekfSimulation.m		ekfSimulation.m
estimateOdometryPose.m		estimateOdometryPose.m
estimateRelativePose.m		estimateRelativePose.m
evaluateMeasurementJacobians.m		evaluateMeasurementJacobians.m
evaluatePredictionJacobians.m		evaluatePredictionJacobians.m
evaluateRelativePoseDifference.m		evaluateRelativePoseDifference.m
getOdometryCovariance.m		getOdometryCovariance.m
getSensorCovariance.m		getSensorCovariance.m
normalizeAngle.m		normalizeAngle.m

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MATLAB Simulator for Mobile Robot Localization 
Using Extended Kalman Filter (EKF)

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AUTHOR:		Ruslan Masinjila
Contact:	ruslanmasinjila@gmail.com
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Release Date:	05/24/2014
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GENERAL NOTES:

This MATLAB simulator demonstrates how a 2-wheeled mobile robot
localizes itself through the fusion of information using Extended 
Kalman Filter. The information is provided by simulated wheel encoders as
well as distance and angular sensors.

Tested in MATLAB 7.12.0.635 (R2011a) and MATLAB 7.14.0.739 (R2012a)
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RUNNING THE SIMULATOR:

Execute the RunMe.mat file
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Link to EKF Algorithm
https://bytebucket.org/ruslanmasinjila/ekf_algorithm/raw/e1a39c8c014b47f67d030a4c43861f16ae95de02/ekf_algorithm.pdf?token=1723c05cc708b96d3e8ea2a3036a5ebaa9218c38
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