JacopoPan/aerial-autonomy-stack
An open framework to simulate and deploy perception-based PX4/ArduPilot drone swarms with ROS2, YOLO, LiDAR, NVIDIA Jetson
This framework helps robotics engineers, drone operators, and researchers develop, simulate, and deploy sophisticated multi-drone systems for perception-based tasks. It takes inputs from 3D LiDAR and YOLO object detection, processing them to control drone swarms. The output is a deployed, autonomous drone fleet capable of complex missions or faster-than-real-time simulations for testing.
349 stars.
Use this if you need to rapidly prototype, test, and deploy autonomous drone swarms that rely on visual and LiDAR data for navigation and task execution, whether in simulation or on physical hardware.
Not ideal if you are looking for a simple drone piloting interface or a tool for basic aerial photography without advanced autonomy requirements.
Stars
349
Forks
65
Language
C++
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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