Open Source Android Drone Apps

QGroundControl is a cross-platform ground control station for MAVLink-enabled drones and autonomous vehicles. It provides full setup, configuration, flight control, and mission planning for platforms including PX4 and ArduPilot. Mission tools can create waypoint, survey, and structure-scan routes. The live flight view combines maps, instruments, vehicle position, telemetry, and optional video streams. Guided setup tools cover sensors, radios, flight modes, power systems, and vehicle parameters. Multiple vehicles can be connected and monitored from the same application. Additional tools include log downloading, geotagging, MAVLink inspection, consoles, and joystick control across desktop and mobile systems.

Betaflight App is a free, open-source configuration and management application for flight controllers running Betaflight firmware. It provides a graphical environment for configuring drones and other supported aircraft without manually editing firmware settings. Users can adjust flight characteristics, receiver inputs, motor configurations, and onboard system parameters. The application includes tools for tuning PID controllers, configuring flight modes, and adjusting filtering settings. It also supports firmware flashing, sensor calibration, and diagnostic monitoring of connected flight controllers. Betaflight App is available as a Progressive Web Application and as standalone software for multiple operating systems. Designed for FPV enthusiasts and drone builders, it simplifies flight controller setup, troubleshooting, and performance optimization.

openMVG is an open-source C++ library for multiple-view geometry, photogrammetry, and Structure from Motion. It provides an end-to-end framework for reconstructing 3D scenes from collections of ordinary images. Its libraries cover image handling, feature description, feature matching, feature tracking, camera models, triangulation, robust estimation, and geometric solvers. Command-line binaries handle individual reconstruction stages that can be combined into complete pipelines. Reconstructed scenes can be exported to other multi-view stereo tools for dense point clouds and textured meshes. The project emphasizes readable, maintainable implementations backed by tests and examples. It runs on Linux, macOS, Windows, Android, and iOS.