Vanilla_pf_icp Alternatives

Iterative closest point via particle filtering
Suggest Alternative
Alternatives To DrGabor/Vanilla_PF_ICP
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
johnhw/pfilter 120 0 0 almost 4 years ago 6 June 11, 2022 1 mit Python
Basic Python particle filter
vatsan/slam 94 0 0 over 8 years ago 0 2 apache-2.0 Python
An implementation of particle filtering algorithm for simultaneous localization and mapping (SLAM) in autonomous robots.
tbrown122387/pf 44 0 0 about 3 years ago 0 11 mit HTML
PF: a header only template library for fast particle filtering!
JohannesPfeifer/Particle_Filtering 38 0 0 over 2 years ago 0 0 gpl-3.0 MATLAB
Matlab Particle Filtering and Smoothing Example Code
AnetteEltner/FlowVeloTool 17 0 0 over 3 years ago 0 0 Python
DrGabor/Vanilla_PF_ICP 16 0 0 almost 6 years ago 0 0 MATLAB
Iterative closest point via particle filtering
beta-robots/pipol_tracker 14 0 0 over 9 years ago 0 1 mit C++
Multi target people tracker for mobile robots. It uses multiple detector modalities, is based on particle filtering and outputs a set of nearb person positions.
probcomp/GenParticleFilters.jl 14 0 0 almost 3 years ago 0 1 apache-2.0 Julia
Building blocks for simple and advanced particle filtering in Gen.
aijunbai/pfs 12 0 0 almost 10 years ago 0 0 bsd-2-clause C++
A Particle Filtering over Sets Approach to Multi-Object Tracking
rsasaki0109/gaussian_particle_filter 9 0 0 about 6 years ago 0 0 mit Python
Gaussian Particle Filter localization python sample
Alternatives To DrGabor/Vanilla_PF_ICP
Select To Compare


Alternative Project Comparisons
Popular Filtering Projects
Popular Particles Projects
Popular Data Processing Categories
Related Searches
Get A Weekly Email With Trending Projects
No Spam. Unsubscribe easily at any time.
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2026 Awesome Open Source.  All rights reserved.