Point Mass Filter
Version 1.0.0.0 (3.75 MB) by
Guillaume de Chambrier
A Point Mass Filter (PMF), is a non-parametric Bayesian state space estimator used in localisation.
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
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R2015a
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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 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.
