JacopoPan/aerial-autonomy-stack

An open framework to simulate and deploy perception-based PX4/ArduPilot drone swarms with ROS2, YOLO, LiDAR, NVIDIA Jetson

60
/ 100
Established

Supports autopilot-agnostic control via PX4 Offboard and ArduPilot Guided modes through action-based ROS2 interfaces, enabling both GNSS-denied and velocity/acceleration setpoint flight. Implements a dual-network architecture (SIM_SUBNET for sensor data, AIR_SUBNET for inter-vehicle comms) with Zenoh bridges, plus steppable Gymnasium environments for faster-than-real-time multi-instance training. Integrates KISS-ICP LiDAR odometry, ONNX-accelerated YOLO inference, and multi-Jetson hardware-in-the-loop testing across amd64/arm64 Docker containers.

349 stars.

No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 22 / 25

How are scores calculated?

Stars

349

Forks

65

Language

C++

License

MIT

Last pushed

Mar 12, 2026

Commits (30d)

0

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