An open framework to simulate and deploy perception-based PX4/ArduPilot drone swarms with ROS2, YOLO, LiDAR, NVIDIA Jetson
Simulate and control drone swarms using an open framework for advanced aerial autonomy.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeAn open framework to simulate and deploy perception-based PX4/ArduPilot drone swarms with ROS2, YOLO, LiDAR, NVIDIA Jetson
aerial-autonomy-stack has 526 stars on GitHub. It has been forked 97 times. aerial-autonomy-stack is written mainly in C++. It has been in active development since 2025. aerial-autonomy-stack is available under the MIT license. Its main topics are ardupilot, drone, fixed-wing, gazebo.
An open framework to simulate and deploy perception-based PX4/ArduPilot drone swarms with ROS2, YOLO, LiDAR, NVIDIA Jetson
aerial-autonomy-stack is an open-source project. It is released under the MIT license.
Yes. aerial-autonomy-stack is free and open source — you can use, modify and self-host it.
aerial-autonomy-stack is available under the MIT license.
aerial-autonomy-stack is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/jacopopan-aerial-autonomy-stack.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.