{"id":20286642,"url":"https://github.com/yezzfusl/aerobrainstm","last_synced_at":"2026-05-04T17:34:45.177Z","repository":{"id":252674261,"uuid":"841110288","full_name":"yezzfusl/AeroBrainSTM","owner":"yezzfusl","description":"Autonomous STM32H743ZI Drone System","archived":false,"fork":false,"pushed_at":"2024-08-26T21:07:37.000Z","size":22,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-14T08:14:45.935Z","etag":null,"topics":["autonomous-systems","drone","drone-software","embedded-systems","flight-control","image-processing","microcontroller","real-time-control","robotics","sensor-fusion","stm32"],"latest_commit_sha":null,"homepage":"","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/yezzfusl.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":"2024-08-11T17:07:55.000Z","updated_at":"2024-08-26T21:07:40.000Z","dependencies_parsed_at":"2024-08-27T00:05:40.536Z","dependency_job_id":null,"html_url":"https://github.com/yezzfusl/AeroBrainSTM","commit_stats":null,"previous_names":["yezzfusl/aerobrainstm"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yezzfusl%2FAeroBrainSTM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yezzfusl%2FAeroBrainSTM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yezzfusl%2FAeroBrainSTM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yezzfusl%2FAeroBrainSTM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yezzfusl","download_url":"https://codeload.github.com/yezzfusl/AeroBrainSTM/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241780499,"owners_count":20019061,"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":["autonomous-systems","drone","drone-software","embedded-systems","flight-control","image-processing","microcontroller","real-time-control","robotics","sensor-fusion","stm32"],"created_at":"2024-11-14T14:35:52.743Z","updated_at":"2025-11-29T17:01:47.273Z","avatar_url":"https://github.com/yezzfusl.png","language":"C","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AeroBrainSTM\nAutonomous STM32H743ZI Drone System\n\n## Hardware Requirements\n\n- STM32H743ZI microcontroller board\n- GPS module (e.g., NEO-6M)\n- LIDAR sensor (e.g., TFMini Plus)\n- OV7670 camera module\n- Telemetry module (e.g., XBee)\n- IMU (Inertial Measurement Unit)\n- Drone frame and motors\n\n## Software Requirements\n\n- STM32CubeIDE (version 1.8.0 or later)\n- ARM GCC Toolchain\n- OpenOCD for flashing\n## Key Features\n\n1. **Flight Control**: Implements PID-based stabilization for roll, pitch, and yaw.\n2. **GPS Navigation**: Utilizes GPS data for waypoint navigation.\n3. **Obstacle Avoidance**: Uses LIDAR data to detect and avoid obstacles.\n4. **Path Planning**: Generates and follows optimal paths between waypoints.\n5. **Telemetry**: Enables real-time data transmission and remote command reception.\n6. **Computer Vision**: Incorporates image processing for scene analysis and decision-making.\n\n## Build Instructions\n\n1. Clone the repository:\n\n`git clone https://github.com/yezzfusl/AeroBrainSTM.git`\n\n`cd AeroBrainSTM`\n\n2. Build the project:\n\n`make`\n\n3. Flash the binary to the STM32H743ZI:\n\n`openocd -f interface/stlink.cfg -f target/stm32h7x.cfg -c \"program build/autonomous_drone.elf verify reset exit\"`\n\n## Usage\n\n1. Power on the drone system.\n2. Use the telemetry interface to:\n- Add waypoints\n- Start the mission\n- Monitor drone status\n- Abort the mission if necessary\n\n## Technical Details\n\n- **Microcontroller**: STM32H743ZI (Arm Cortex-M7, 400 MHz, 2 MB Flash, 1 MB RAM)\n- **GPS**: UART communication, NMEA sentence parsing\n- **LIDAR**: I2C or UART communication, distance measurement up to 12m\n- **Camera**: OV7670 module, DCMI interface, 640x480 resolution\n- **Telemetry**: UART communication, custom protocol for data exchange\n- **Image Processing**: Basic edge detection using Sobel operator\n- **Path Planning**: A* algorithm for optimal path generation\n- **Obstacle Avoidance**: Reactive avoidance based on LIDAR readings\n\n## Performance Considerations\n\n- The main control loop runs at 100 Hz (10ms cycle time).\n- Image processing is computationally intensive and may impact overall system performance.\n- The system uses DMA for efficient data transfer from peripherals.\n\n## Safety Features\n\n- Geofencing to restrict flight area\n- Failsafe routines for loss of GPS or telemetry signal\n- Low battery voltage detection and auto-return\n\n## Future Improvements\n\n- Implement advanced computer vision algorithms for object detection and tracking\n- Enhance path planning with dynamic obstacle avoidance\n- Add support for multi-drone coordination\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n\n## Contributors\n\n- [@YEZZFUSL]\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyezzfusl%2Faerobrainstm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyezzfusl%2Faerobrainstm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyezzfusl%2Faerobrainstm/lists"}