{"id":13619761,"url":"https://github.com/auralius/kalman-cpp","last_synced_at":"2025-08-01T06:30:52.218Z","repository":{"id":15850911,"uuid":"78965793","full_name":"auralius/kalman-cpp","owner":"auralius","description":"Kalman Filter, Extended Kalman Filter, and Unscented Kalman Filter implementation in C++","archived":false,"fork":false,"pushed_at":"2023-02-15T03:47:06.000Z","size":28342,"stargazers_count":32,"open_issues_count":3,"forks_count":7,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-11-08T06:38:18.314Z","etag":null,"topics":["armadillo","extended","filter","kalman","second-order","unscented-kalman-filter"],"latest_commit_sha":null,"homepage":"https://auralius.github.io/kalman-cpp/","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/auralius.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2017-01-14T20:48:57.000Z","updated_at":"2024-10-29T05:38:05.000Z","dependencies_parsed_at":"2023-02-15T23:30:57.202Z","dependency_job_id":null,"html_url":"https://github.com/auralius/kalman-cpp","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/auralius%2Fkalman-cpp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/auralius%2Fkalman-cpp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/auralius%2Fkalman-cpp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/auralius%2Fkalman-cpp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/auralius","download_url":"https://codeload.github.com/auralius/kalman-cpp/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228339326,"owners_count":17904513,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["armadillo","extended","filter","kalman","second-order","unscented-kalman-filter"],"created_at":"2024-08-01T21:00:48.308Z","updated_at":"2024-12-05T17:10:19.256Z","avatar_url":"https://github.com/auralius.png","language":"C++","funding_links":[],"categories":["K"],"sub_categories":[],"readme":"# kalman-cpp\n\n[![C/C++ CI](https://github.com/auralius/kalman-cpp/actions/workflows/c-cpp.yml/badge.svg)](https://github.com/auralius/kalman-cpp/actions/workflows/c-cpp.yml)\n\n## Kalman filter and extended Kalman filter implementation in C++ \n\nImplemented filters so far: \n* Kalman filter  \n* Extended Kalman filter  \n* Second-order extended Kalman filter  \n* Unscented Kalman filter  \n\nPlease use cmake to build all the codes.\n\nThe steps to compile are:\n\n```\nmkdir build\ncd build\ncmake ..\nmake\n```  \n\n## Windows System  \n\nIn a Windows system, a Visual Studio solution file (VS 2019) is provided. \n\n## Dependencies\n\nThis library utilizes [Armadillo](http://arma.sourceforge.net). \nIn Windows system, the armadillo library is provided in \"windows-libs\" folder. \n**The contents of windows-libs.zip need to be first extracted.** \nArmadillo itself is very easy to use. \nMore information on the Armadillo can be found [here](http://arma.sourceforge.net/docs.html).\n\n## blas and lapack\nBy default, now kalman-cpp uses blas and lapack. For Windows machine, working with blas and lapack is a messy stuff. Thus, we will use the precompiled blas and lapack from:  https://www.fi.muni.cz/~xsvobod2/misc/lapack/. \n\nThe precompiled blas and lapack libraries are included in **windows-libs.zip**. There are four LIB files. Additionally, in \"bin\" folder, there are four corresponding DLL files as well. There are four files because two files are for the 32-bit platform, and the other two files are for the 64-bit platform. \n\n**The compiled binary must always be located in the same folder as these DLL files.**\n\n\n\n## MATLAB m-files for plotting\n\nMATLAB m-files for each example are provided in 'm-files' folder. Octave can also be used instead of MATLAB.\n\n## Documentation\n  \nhttps://auralius.github.io/kalman-cpp/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fauralius%2Fkalman-cpp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fauralius%2Fkalman-cpp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fauralius%2Fkalman-cpp/lists"}