[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-82973":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":9,"totalLinesOfCode":9,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":9,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":36,"readmeContent":37,"aiSummary":38,"trendingCount":16,"starSnapshotCount":16,"syncStatus":39,"lastSyncTime":40,"discoverSource":41},82973,"clover","CopterExpress\u002Fclover","CopterExpress","ROS-based framework and RPi image to control PX4-powered drones 🍀",null,"https:\u002F\u002Fgithub.com\u002FCopterExpress\u002Fclover","C++",622,314,23,3,0,6,9,12,18,11.49,false,"main",[25,26,27,28,29,30,31,32,33,34,35],"ros","px4","mavros","aruco","quadcopter","computer-vision","optical-flow","drone","education","raspberry-pi","robotics","2026-06-12 02:04:29","# clover🍀: create autonomous drones easily\n\n\u003Cimg src=\"docs\u002Fassets\u002Fclover42-main-margin.png\" align=\"right\" width=\"400px\" alt=\"COEX Clover Drone\">\n\nClover is an open source [ROS](https:\u002F\u002Fwww.ros.org)-based framework, providing user-friendly tools to control [PX4](https:\u002F\u002Fpx4.io)-powered drones. Clover is available as a ROS package, but is shipped mainly as a preconfigured image for Raspberry Pi. Once you've installed Raspberry Pi on your drone and flashed the image to its microSD card, taking the drone up in the air is a matter of minutes.\n\nCOEX Clover Drone is an educational programmable drone kit, suited perfectly for running clover software. The kit is shipped unassembled and includes Pixracer-compatible autopilot running PX4 firmware, Raspberry Pi 4 as a companion computer, a camera for computer vision navigation as well as additional sensors and peripheral devices. Batteries included.\n\nThe main documentation is available at [https:\u002F\u002Fclovercoex.tech](https:\u002F\u002Fclovercoex.tech\u002F).\n\n[__Support us on Kickstarter!__](https:\u002F\u002Fwww.kickstarter.com\u002Fprojects\u002Fcopterexpress\u002Fcloverdrone)\n\n## Video compilation\n\n[![Clover Drone Kit autonomy compilation](http:\u002F\u002Fimg.youtube.com\u002Fvi\u002Fu3omgsYC4Fk\u002Fhqdefault.jpg)](https:\u002F\u002Fyoutu.be\u002Fu3omgsYC4Fk)\n\nClover drone is used on a wide range of educational events, including [Copter Hack](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=xgXheg3TTs4), WorldSkills Drone Operation competition, [Autonomous Vehicles Track of NTI Olympics 2016–2020](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=E1_ehvJRKxg), Quadro Hack 2019 (National University of Science and Technology MISiS), Russian Robot Olympiad (autonomous flights), and others.\n\n## Raspberry Pi image\n\nPreconfigured image for Raspberry Pi with installed and configured software, ready to fly, is available [in the Releases section](https:\u002F\u002Fgithub.com\u002FCopterExpress\u002Fclover\u002Freleases).\n\n![GitHub Workflow Status](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Factions\u002Fworkflow\u002Fstatus\u002FCopterExpress\u002Fclover\u002Fbuild-image.yaml?branch=master)\n![GitHub all releases](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fdownloads\u002FCopterExpress\u002Fclover\u002Ftotal)\n\nImage features:\n\n* Raspbian Buster\n* [ROS Noetic](http:\u002F\u002Fwiki.ros.org\u002Fnoetic)\n* Configured networking\n* OpenCV\n* [`mavros`](http:\u002F\u002Fwiki.ros.org\u002Fmavros)\n* Periphery drivers for ROS ([GPIO](https:\u002F\u002Fclovercoex.tech\u002Fen\u002Fgpio.html), [LED strip](https:\u002F\u002Fclovercoex.tech\u002Fen\u002Fleds.html), etc)\n* `aruco_pose` package for marker-assisted navigation\n* `clover` package for autonomous drone control\n\nAPI description for autonomous flights is available [on GitBook](https:\u002F\u002Fclovercoex.tech\u002Fen\u002Fsimple_offboard.html).\n\nFor manual package installation and running see [`clover` package documentation](clover\u002FREADME.md).\n\n## Support\n\n[![Telegram Support Chat](https:\u002F\u002Fimg.shields.io\u002Fendpoint?label=Support%20Chat&url=https%3A%2F%2Ftelegram-badge-4mbpu8e0fit4.runkit.sh%2F%3Furl%3Dhttps%3A%2F%2Ft.me%2FCOEXHelpDesk)](https:\u002F\u002Ft.me\u002FCOEXHelpdesk)\n\n## License\n\nWhile the Clover platform source code is available under the MIT License, note, that the [documentation](docs\u002F) is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.\n","Clover 是一个基于 ROS 的开源框架，旨在简化 PX4 驱动无人机的控制。它提供了一套用户友好的工具，并主要以预配置的 Raspberry Pi 镜像形式分发，该镜像包含了 Raspbian Buster、ROS Noetic 以及一系列用于计算机视觉导航和自主飞行的关键软件包如 `mavros` 和 `aruco_pose`。Clover 特别适合教育场景下的编程教学及无人机竞赛准备，同时也适用于需要快速部署自主飞行解决方案的研究与开发项目。COEX Clover 无人机套件作为硬件配套方案，进一步降低了入门门槛，使得从零开始构建具备基本感知能力的无人飞行器变得更加容易。",2,"2026-06-11 04:09:45","trending"]