{"id":29506622,"url":"https://github.com/sl-l/particle-filter-tests","last_synced_at":"2026-05-02T23:37:13.260Z","repository":{"id":304408139,"uuid":"1016904268","full_name":"Sl-L/Particle-filter-tests","owner":"Sl-L","description":"A pygame representation of beacon-based robot localization via a particle filter and a C implementation of a particle filter for embedded","archived":false,"fork":false,"pushed_at":"2025-08-01T18:37:32.000Z","size":32,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-01T20:44:21.697Z","etag":null,"topics":["beacons","c","embedded","localization","multilateration","python3","python313","robotics"],"latest_commit_sha":null,"homepage":"","language":"Python","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/Sl-L.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,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-07-09T17:52:34.000Z","updated_at":"2025-08-01T18:37:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"c01e3f4a-88b4-4d50-ba8d-64cd274c0e40","html_url":"https://github.com/Sl-L/Particle-filter-tests","commit_stats":null,"previous_names":["sl-l/particle-filter-tests"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Sl-L/Particle-filter-tests","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sl-L%2FParticle-filter-tests","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sl-L%2FParticle-filter-tests/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sl-L%2FParticle-filter-tests/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sl-L%2FParticle-filter-tests/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Sl-L","download_url":"https://codeload.github.com/Sl-L/Particle-filter-tests/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sl-L%2FParticle-filter-tests/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278891748,"owners_count":26063855,"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","status":"online","status_checked_at":"2025-10-08T02:00:06.501Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["beacons","c","embedded","localization","multilateration","python3","python313","robotics"],"created_at":"2025-07-16T02:02:32.342Z","updated_at":"2025-10-08T04:47:53.913Z","avatar_url":"https://github.com/Sl-L.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## File description\n\n- The file `graphics.py` is a simple pygame representation of the problem of calculating a robot's position using beacons\n- `particle_filter.c` is a C implementation of a particle filter that uses RSSI measurements to calculate the robot's position\n\n## Notes\n- `graphics.py` doesn't use `particle_filter.c`\n- `graphics.py` is mean't for conceptual analysis\n- The main() function in `particle_filter.c` is a usage example\n- The particle filter implementation in `particle_filter.c` is meant for embedded\n\n## TO-DO\n### Priority\n- Test and benchmark the particle filter implementation on a nRF5340's app core\n- Properly document usage of the implementation\n\n### If there's time\n- Add a comfortable way of changing sim setting on `graphics.py`","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsl-l%2Fparticle-filter-tests","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsl-l%2Fparticle-filter-tests","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsl-l%2Fparticle-filter-tests/lists"}