{"id":18733258,"url":"https://github.com/ecmnet/mavslam","last_synced_at":"2025-04-12T18:31:37.382Z","repository":{"id":109495114,"uuid":"53736449","full_name":"ecmnet/MAVSlam","owner":"ecmnet","description":"Visual odometry based on Intel® RealSense™ devices","archived":false,"fork":false,"pushed_at":"2019-10-24T14:49:16.000Z","size":39505,"stargazers_count":51,"open_issues_count":4,"forks_count":12,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-26T12:51:12.997Z","etag":null,"topics":["computervision","obstacle-avoidance","odometry","px4","realsense"],"latest_commit_sha":null,"homepage":"","language":"Java","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/ecmnet.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}},"created_at":"2016-03-12T14:44:03.000Z","updated_at":"2024-12-27T23:57:35.000Z","dependencies_parsed_at":"2023-05-18T01:15:37.430Z","dependency_job_id":null,"html_url":"https://github.com/ecmnet/MAVSlam","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/ecmnet%2FMAVSlam","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ecmnet%2FMAVSlam/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ecmnet%2FMAVSlam/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ecmnet%2FMAVSlam/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ecmnet","download_url":"https://codeload.github.com/ecmnet/MAVSlam/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248613463,"owners_count":21133520,"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":["computervision","obstacle-avoidance","odometry","px4","realsense"],"created_at":"2024-11-07T15:09:10.979Z","updated_at":"2025-04-12T18:31:32.364Z","avatar_url":"https://github.com/ecmnet.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MAVSlam - Visual odometry \u0026 SLAM for PX4\n\n## \n\n#### Onboard visual odometry for PX4 \n\n(Deprecated)\n\nIntegrate  Intel® RealSense™ R200 depth camera as an oboard visual input source for PX4 using the [UP-Board]( http://www.up-board.org) as companion:\n\n- Estimate position and speed based on stereo depth images up to 60 fps for LPE /EKF2\n- Stream video to MAVGCL with overlays \n- Feature-based or depth obstacle detection\n- Integration with PX4 via MAVLink ([MAVComm](https://github.com/ecmnet/MAVComm) required)\n\nPrerequisites:\n\n- UP-Board running Ubilinux 3.0 with Java 8 (minimum) stack connected via serial link to PX4 controller\n- Intel® RealSense™ R200 (connected with external power supply)\n\nVideo:\n\n\u003chttps://youtu.be/jOWNSIwIA9k\u003e\n\n\nHeading estimation:\n\n![https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/heading.png](https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/heading.png)\n\n\n\nXY Estimation:\n\n![https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/screenshot6.png](https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/screenshot6.png)\n\nObstacle detection:\n\n![https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/obstacle.png](https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/obstacle.png)\n\n\n\nMicroSLAM:\n\n![https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/microslam.png](https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/microslam.png)\n\n\n\n#### Desktop odometry demo \n\nA first implementation using Intel® RealSense™ R200 with boofcv on OSX/Linux platforms. Based on https://github.com/IntelRealSense/librealsense and http://boofcv.org/index.php?title=Main_Page.\n\n![https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/RealSense.png](https://raw.githubusercontent.com/ecmnet/MAVSlam/master/MAVSlam/RealSense.png)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fecmnet%2Fmavslam","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fecmnet%2Fmavslam","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fecmnet%2Fmavslam/lists"}