{"id":25818881,"url":"https://github.com/ddrm86/udacity-selfdriving-t2-p2","last_synced_at":"2026-08-29T17:30:18.920Z","repository":{"id":94002633,"uuid":"90125895","full_name":"ddrm86/udacity-selfdriving-t2-p2","owner":"ddrm86","description":"Self-driving car nanodegree term 2 project 2: Unscented Kalman Filter","archived":false,"fork":false,"pushed_at":"2017-05-03T08:27:04.000Z","size":846,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-09T16:08:42.030Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/ddrm86.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}},"created_at":"2017-05-03T08:25:59.000Z","updated_at":"2017-05-03T08:27:09.000Z","dependencies_parsed_at":"2023-04-01T12:47:34.006Z","dependency_job_id":null,"html_url":"https://github.com/ddrm86/udacity-selfdriving-t2-p2","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ddrm86/udacity-selfdriving-t2-p2","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ddrm86%2Fudacity-selfdriving-t2-p2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ddrm86%2Fudacity-selfdriving-t2-p2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ddrm86%2Fudacity-selfdriving-t2-p2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ddrm86%2Fudacity-selfdriving-t2-p2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ddrm86","download_url":"https://codeload.github.com/ddrm86/udacity-selfdriving-t2-p2/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ddrm86%2Fudacity-selfdriving-t2-p2/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":36973594,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-08-22T15:14:58.755Z","status":"online","status_checked_at":"2026-08-29T02:00:05.978Z","response_time":51,"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":[],"created_at":"2025-02-28T08:14:00.845Z","updated_at":"2026-08-29T17:30:18.916Z","avatar_url":"https://github.com/ddrm86.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Unscented Kalman Filter Project Starter Code\nSelf-Driving Car Engineer Nanodegree Program\n\n---\n\n## Dependencies\n\n* cmake \u003e= v3.5\n* make \u003e= v4.1\n* gcc/g++ \u003e= v5.4\n\n## Basic Build Instructions\n\n1. Clone this repo.\n2. Make a build directory: `mkdir build \u0026\u0026 cd build`\n3. Compile: `cmake .. \u0026\u0026 make`\n4. Run it: `./UnscentedKF path/to/input.txt path/to/output.txt`. You can find\n   some sample inputs in 'data/'.\n    - eg. `./UnscentedKF ../data/obj_pose-laser-radar-synthetic-input.txt`\n\n## Editor Settings\n\nWe've purposefully kept editor configuration files out of this repo in order to\nkeep it as simple and environment agnostic as possible. However, we recommend\nusing the following settings:\n\n* indent using spaces\n* set tab width to 2 spaces (keeps the matrices in source code aligned)\n\n## Code Style\n\nPlease stick to [Google's C++ style guide](https://google.github.io/styleguide/cppguide.html) as much as possible.\n\n## Generating Additional Data\n\nThis is optional!\n\nIf you'd like to generate your own radar and lidar data, see the\n[utilities repo](https://github.com/udacity/CarND-Mercedes-SF-Utilities) for\nMatlab scripts that can generate additional data.\n\n## Project Instructions and Rubric\n\nThis information is only accessible by people who are already enrolled in Term 2\nof CarND. If you are enrolled, see [the project page](https://classroom.udacity.com/nanodegrees/nd013/parts/40f38239-66b6-46ec-ae68-03afd8a601c8/modules/0949fca6-b379-42af-a919-ee50aa304e6a/lessons/c3eb3583-17b2-4d83-abf7-d852ae1b9fff/concepts/f437b8b0-f2d8-43b0-9662-72ac4e4029c1)\nfor instructions and the project rubric.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fddrm86%2Fudacity-selfdriving-t2-p2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fddrm86%2Fudacity-selfdriving-t2-p2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fddrm86%2Fudacity-selfdriving-t2-p2/lists"}