Open Source Windows Drone Software

The AR Drone is a quadrotor helicopter sold by Parrot. Parrot sells the drone as a toy controlled via a wireless device such as Ipods, Ipads, or Android based devices. Parrot advertises the toy as an advance in gaming because the control devices will project a virtual reality allowing users to play with their physical drone with an enhanced version on their controller where bullets or hot air balloons must be avoided in the virtual world. KIPR, KISS Institute for Practical Robotics is an organization that facilitates the learning of robotics programming in middle and high school students to peak an interest in computer science. To do this they hold competitions around the world called botball where students program autonomous land robots to perform various sets of tasks. KIPR, now wants to expand and leave the ground by integrating flying robots (the AR Drone) into the tasks for added interest, fun, and challenge for students.

OpenReco is an open-source photogrammetry and reality-capture platform designed to turn photographs into accurate 3D models, dense point clouds, textured meshes, DEMs, and orthomosaics. Built for researchers, drone operators, surveyors, developers, hobbyists, and digital artists, OpenReco aims to provide a transparent and extensible alternative to proprietary photogrammetry software. The project focuses on ease of use, performance, and reproducible workflows while embracing the open-source ecosystem. OpenReco supports image alignment, camera calibration, sparse and dense reconstruction, mesh generation, texturing, and export to common formats. Whether you're reconstructing archaeological sites, creating digital twins, generating terrain models, or building assets for games and visualization, OpenReco provides a powerful foundation without licensing restrictions.

This project intends to modelize a framework for remote controlled airplanes. This framework includes PPM/PCM drivers and data telemetry (location, speed, altitude) based on the SensorsAPI, to provide a reliable augmented reality for FPV flights

pilottai is an AI-based autonomous drone navigation system utilizing reinforcement learning for real-time decision-making. It is designed for simulating and training drones to fly safely through dynamic environments using AI-based controllers.

This is Fully Functional Ground Control Station Designed for the Zuppa Autopilot , Zuppa FLAME (Farm and Large Area Mapping Solution) and the Zuppa DUSTER (Pesticide Spraying Drone). It has data analyzer tools as well as playback and post flight analysis features. It is compatible for a typical Window Laptop or Windows tab (8" and above) . It has Both offline and online map operation modes , additionally you can also download maps using the ZUPPA GCS software. Very Ergonomically made and very useful for one click operations without the need for much training. Supports map plotting features for aerial mapping and 3d survey applications , this is very useful for large are survey missions. Individual navigation route plotting can be directly made and created by user , these routes can be saved on board computer and accessed later . Supports up to 98 waypoint integration , typically 3.5 sq. km. worth of waypoints for mapping and 3d survey application.

ar-drone is a Node.js client library for controlling Parrot AR.Drone quadcopters over their network protocol. It provides a high-level API for common flight operations such as takeoff, landing, altitude changes, rotation, directional movement, and hovering. Programs can receive navigation telemetry including flight state, altitude, and other sensor data. Camera output can be accessed as raw video streams or converted into PNG frames through FFmpeg. The library also exposes predefined flight animations, LED sequences, configuration commands, and emergency recovery controls. An interactive REPL lets developers experiment with drone commands directly before building autonomous scripts. Lower-level UDP controls are available for applications that need closer access to the drone's command protocol.

Gym-PyBullet-Drones is an open-source Gym-compatible environment for training and evaluating reinforcement learning agents on drone control and swarm robotics tasks. It leverages the PyBullet physics engine to simulate quadrotors and provides a platform for studying control, navigation, and coordination of single and multiple drones in 3D space.