pymavlink

A UAV Ground Control Interface with various features. | Çeşitli özelliklere sahip İHA Yer Kontrol Arayüzü

Details How to Simulate a Drone Swarm Using Airsim or Gazebo

An autonomous fire detection and response system for fixed-wing UAVs. The system uses dual-camera sensor fusion (RGB + thermal) to detect and confirm fire locations, then autonomously navigates the aircraft w,th raycasting to orbit around the detected fire.

UAV precision landing package for Ardupilot

MCP server for talking to ArduPilot vehicles over MAVLink. SITL-first, safety-gated.

Joystick Drone Control Protocol Bridge. Control a drone using a joystick via a client-server connection.

ドローンエンジニア養成塾（サンプルコード, 課題）

Serve and control MAVLink drones via a high-performance async REST API supporting telemetry, commands, and multi-user access.

Underwater route recognition and vehicle-control experiments with YOLO

Telemetry Dashboard for MAVLink Drones 🚁📊 A real-time web interface built with React to visualize MAVLink telemetry data. It fetches JSON logs generated by pymavlink and displays critical drone parameters like attitude, battery status, and sensor readings. Includes a Python backend for handling telemetry data streams

Secure Python async REST API for MAVLink drone telemetry and control.

2025 / 2026 Rotary-Winged Drone Teknofest Category | SAURO IHA Team Simulation Project

4 swarm drone simulation using ArduPilot SITL and QGC

Blackhawk drone swarming challenge to draw patterns using 12 drones

Team SINGULARIT repo for SUAS 2025

Telemetry Dashboard for MAVLink Drones 🚁📊 A real-time web interface built with React to visualize MAVLink telemetry data. It fetches JSON logs generated by pymavlink and displays critical drone parameters like attitude, battery status, and sensor readings. Includes a Python backend for handling telemetry data streams

Command-line interface to interact with a Dockerized ArduPilot SITL drone simulator via MAVLink using pymavlink. Supports real-time parameter get/set operations and smart container management.

UAS systems integration and autonomy lab for MAVLink, ArduPilot SITL, telemetry, networking, and autonomous flight experimentation.

Flight code for a DIY AI drone: ArduPilot SITL missions, YOLO vision-to-MAVLink bridge, and failsafe test harnesses. Building toward a Pixhawk 6C + Raspberry Pi 5 + OAK-D Pro W quadcopter that navigates indoors by vision.

Multi-agent 3D path planning and autonomous drone mission planning algorithms implemented in Python.