Point Mass Filter

A Point Mass Filter (PMF), is a non-parametric Bayesian state space estimator used in localisation.
172 Downloads
Updated 27 Mar 2017

Implementation of a 2D and 3D Point Mass Filter (PMF).
This implementation is based on the description from Niclas Bergman's Thesis: Recursive Bayesian Estimation Navigation and Tracking Applications, Chapter 5. Both implementations rely on N-dimensional sparse arrays which is included in this distribution.

Cite As

Guillaume de Chambrier (2026). Point Mass Filter (https://github.com/gpldecha/point-mass-filter), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
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PMF_2D

PMF_2D/example1

PMF_2D/example2

PMF_2D/extra

PMF_2D/extra/ndSparse_G3_2013_03_13

PMF_2D/likelihood

PMF_2D/measurement

PMF_2D/plot

PMF_2D/pmf

PMF_3D

PMF_3D/geometrical_shapes/circle

PMF_3D/geometrical_shapes/contact_optimisation

PMF_3D/geometrical_shapes/cube

PMF_3D/geometrical_shapes/cylinder

PMF_3D/geometrical_shapes/disk

PMF_3D/geometrical_shapes/distances

PMF_3D/geometrical_shapes/line_segment

PMF_3D/geometrical_shapes/plot

PMF_3D/geometrical_shapes/round_agent

PMF_3D/geometrical_shapes/socket/contact_function

PMF_3D/geometrical_shapes/socket/features

PMF_3D/geometrical_shapes/socket/socket_A

PMF_3D/geometrical_shapes/socket/socket_B

PMF_3D/geometrical_shapes/socket/socket_wall

PMF_3D/geometrical_shapes/socket/socket_wall/direction_vectors

PMF_3D/geometrical_shapes/socket/socket_wall/measurement_functions

PMF_3D/help_functions

PMF_3D/initialisation

PMF_3D/likelihood

PMF_3D/measurement

PMF_3D/plot

PMF_3D/pmf3D

PMF_3D/policies

PMF_3D/rotations

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.0.0

changed title name
Added image .gif

added description

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.