A Short Introduction to PF
A Short Introduction to PF: A C++ Library for Particle Filtering - Published in JOSS (2020)
Science Score: 98.0%
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✓DOI references
Found 5 DOI reference(s) in README and JOSS metadata -
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Published in Journal of Open Source Software
Keywords
Repository
PF: a header only template library for fast particle filtering!
Basic Info
Statistics
- Stars: 60
- Watchers: 5
- Forks: 17
- Open Issues: 11
- Releases: 3
Topics
Metadata Files
README.md
PF: a library for fast particle filtering!
This is a template library for particle filtering. Templated abstract base classes for different particle filters are provided (e.g. the Bootstrap Filter, the SISR filter, the Auxiliary Particle Filter, the Rao-Blackwellized particle filter), as well as non-abstract (but indeed templated) base classes for closed-form filtering algorithms (e.g. Kalman Filter, Hidden Markov Model filter, etc.).
Once you have a certain model in mind, all you have to do is make it into a class that inherits from the filter you want to use.
Dependencies
This code makes use of the following libraries:
Also, your compiler must enable C++17.
Installation
Option 1: Install with CMake
git clone this Github repostory, cd into the directory where everything is saved, then run the following commands:
mkdir build && cd build/
cmake .. -DCMAKE_INSTALL_PREFIX:PATH=/usr/local
sudo cmake --build . --config Release --target install --parallel
You may subsitute another directory for /usr/local, if you wish. This will also build unit tests that can be run with the following command (assuming you're still in build/):
./test/pf_test
Note: for this to method work, you will need to install Catch2 "system wide" so that its *.cmake files are installed as well. To do this, click here.
Option 2: Drag-and-drop .h files
This is a header-only library, so there will be no extra building necessary. If you just want to copy the desired header files from include/pf into your own project, and build that project by itself, that's totally fine. There is no linking necessary, either. If you go this route, though, make sure to compile with C++17 enabled. Note, also, that this code all makes use of Eigen v3.3 and Boost v1.65.1. Unit tests use the Catch2 library.
Examples
Don't know how to use this? No problem. Check out the examples sub-directory. This is a stand-alone cmake project, so you can just copy this sub-directory anywhere you like, and start editing.
For example, copy to Desktop and have at it:
cp -r ~/pf/examples/ ~/Desktop/
cd Desktop/examples/
mkdir build && cd build
cmake ..
make
If there are no error messages, you will have an executable named pf_example in that same directory. Running it without command line arguments will prompt you for arguments and tell you how it can be used.
Contributing
Want to contribute to this project? Great! Click here for details on how to do that. We also have an "ideas list" you can check out here.
Paper
A full-length tutorial paper is available here, and a shorter introduction paper is available here.
Citation
Click the "DOI" link above. Or, if you're impatient, click 'here' for a Bibtex citation.
Owner
- Name: Taylor R. Brown
- Login: tbrown122387
- Kind: user
- Company: University of Virginia
- Website: tbrown122387.github.io/
- Twitter: tbrown122387
- Repositories: 9
- Profile: https://github.com/tbrown122387
JOSS Publication
A Short Introduction to PF: A C++ Library for Particle Filtering
Authors
Tags
particle filter c++Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: 'PF: a library for fast particle filtering'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Taylor
family-names: Brown
email: tbrown122387@gmail.com
affiliation: University of Virginia Department of Statistics
orcid: 'https://orcid.org/0000-0003-4972-6251'
version: 1.0.3
doi: 10.5281/zenodo.4068564
date-released: 2020-10-06
url: "https://github.com/tbrown122387/pf"
GitHub Events
Total
- Watch event: 7
- Push event: 1
Last Year
- Watch event: 7
- Push event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Taylor | t****7@g****m | 202 |
| Vaibhav Sharma | 4****v | 1 |
| TianYuan Zhou | 4****n | 1 |
| Clare O'Brien Brown | c****n@C****n | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 25
- Total pull requests: 3
- Average time to close issues: about 1 month
- Average time to close pull requests: about 3 hours
- Total issue authors: 5
- Total pull request authors: 3
- Average comments per issue: 0.72
- Average comments per pull request: 2.33
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- tbrown122387 (21)
- LukeAI (1)
- eunhwanshin (1)
- ziotom78 (1)
- iad-ABDUL-RAOUF (1)
Pull Request Authors
- NoahZhouTianyuan (1)
- cxwx (1)
- GhostVaibhav (1)
