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.

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

UAV precision landing package for Ardupilot

4 swarm drone simulation using ArduPilot SITL and QGC

ドローンエンジニア養成塾（サンプルコード, 課題）

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

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

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

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

Blackhawk drone swarming challenge to draw patterns using 12 drones

Team SINGULARIT repo for SUAS 2025

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

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.

An example of using pymavlink using telemetry and SITL

Visual ArduPilot/MAVLink flight-log viewer with anomaly detection — companion repo for the Dark Wolf 'Hack Our Drone' workshop @ DEF CON Singapore (DCSG1).

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

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.