Using the EKF and particle filter in a simple platform for location, is my course work at the University of Washington, based on the robot to complete the writing can be used as filtering and mobile robot localization based tutorial. Author: Wilford Wang PS. Before I can upload to download the Project-1.rar (University of Washington project work), write your own, and I wrote the program and then compare, you can achieve better learning results.

project1\.emacs.desktop
........\absoluteDiff.m
........\absoluteSum.m
........\cvecrep.m
........\EIF-test.asv
........\EIF-test.m
........\ekfUpdate.asv
........\ekfUpdate.m
........\endPoint.m
........\generateMotion.asv
........\generateMotion.m
........\generateScript.asv
........\generateScript.m
........\getfieldinfo.m
........\initSamples.m
........\meanAndVariance.m
........\minimizedAngle.m
........\observation.m
........\OdometryR.m
........\PDF\bayes-filter.pdf
........\...\fastslam-mapping.pdf
........\...\gauss-filters.pdf
........\...\hardware.pdf
........\...\intro.pdf
........\...\motion-models.pdf
........\...\occ-mapping.pdf
........\...\paradigms.pdf
........\...\path-planning.pdf
........\...\pf-applications.pdf
........\...\pf-filters.pdf
........\...\sensor-models.pdf
........\...\slam-mapping.pdf
........\...\tracking-robocup-04.pdf
........\...\_desktop.ini
........\pfUpdate.m
........\pfupdate.m.~1~
........\plotcircle.m
........\plotcov2d.m
........\plotfield.m
........\plotmarker.m
........\plotrobot.m
........\plotSamples.m
........\prediction.asv
........\prediction.m
........\resample.m
........\residualR.m
........\rotcov.m
........\run.asv
........\run.m
........\run.m.~1~
........\run.m.~2~
........\sample.m
........\sampleOdometry.m
........\Test.asv
........\Test.m
........\_desktop.ini
........\PDF
project1

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