Open Source BSD Drone Software
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Drone Software for BSD
Browse free open source Drone software and projects for BSD below. Use the toggles on the left to filter open source Drone software by OS, license, language, programming language, and project status.
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ArduPilot
ArduPlane, ArduCopter, ArduRover, ArduSub source
ArduPilot is an open-source autopilot platform for autonomous and remotely operated vehicles. It supports airplanes, multicopters, helicopters, rovers, boats, submarines, balance bots, and other specialized vehicle types. Separate vehicle stacks include ArduPlane, ArduCopter, Rover, ArduSub, and Antenna Tracker. The software provides manual-assisted modes as well as fully autonomous missions with waypoint navigation and scripted behavior. Advanced failsafes can react to lost control links, low batteries, positioning problems, and other system failures. MAVLink telemetry connects vehicles with ground stations and companion computers for configuration, monitoring, and mission control. Extensive logging, sensor integration, camera control, scripting, and hardware support make it suitable for hobby, research, and commercial robotics. -
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WebODM
User-friendly, commercial-grade software for processing aerial imagery
WebODM is an open-source, user-friendly application for processing aerial imagery into mapping and 3D products. It can generate georeferenced maps, point clouds, elevation models, textured 3D models, and Gaussian splats. Its interface is designed to make photogrammetry workflows accessible without requiring direct command-line operation. Processing can be handled by several supported engines, including ODX, MicMac, and LGT. The current project has formally separated from OpenDroneMap and no longer serves as a front end for ODM. It is distributed under the AGPLv3 license and offers downloadable installers. WebODM targets professional mapping workflows while retaining self-hosting and open-source deployment options. -
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DroneBridge for ESP32
Secure & transparent telemetry link with support for WiFi and ESP-NOW
DroneBridge for ESP32 is lightweight firmware that turns inexpensive ESP32 boards into wireless telemetry links for drones and other vehicles. It bridges serial data to standard Wi-Fi, Wi-Fi Long Range, ESP-NOW, or Bluetooth Low Energy. MAVLink, MSP, LTM, and arbitrary serial payloads can be transported through the system. Standard Wi-Fi can reach roughly 150 meters, while compatible ESP-NOW or long-range Wi-Fi setups can extend much farther. Traffic can be encrypted with AES-256-GCM, including broadcast-based ESP-NOW communication. A web interface handles configuration, and over-the-air updates simplify maintenance. The project focuses on telemetry and low-data-rate communication rather than video transmission. -
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ESP-Drone
Mini Drone/Quadcopter Firmware for ESP32 and ESP32-S Series SoCs
ESP-Drone is an open-source quadcopter platform built around Espressif ESP32, ESP32-S2, and ESP32-S3 microcontrollers. It combines lightweight hardware with firmware derived in part from the Crazyflie project. Pilots can control the drone through a mobile application or compatible gamepad over wireless connections. Stabilize mode provides basic assisted flight, while additional hardware enables height-hold and position-hold modes. The project supports the Crazyflie client ecosystem and ESP-BOX3 joystick control through ESP-NOW. Android and iOS companion application source code is available separately. Its simple architecture makes it particularly suitable for education, experimentation, and embedded drone development. -
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ExpressLRS
High Performance Open Source Radio Control Link
ExpressLRS is an open-source radio-control link system designed for low latency, long range, and high update rates. It supports 2.4 GHz, 900 MHz, and dual-band radio hardware from many manufacturers. Packet rates can reach up to 1000 Hz on supported configurations. Receivers can expose protocols including CRSF, SBUS, SUMD, HoTT telemetry, MAVLink, and PWM. Firmware updates can be delivered over Wi-Fi, while Bluetooth or Wi-Fi modes can emulate a simulator joystick. Bind phrases simplify pairing without requiring physical bind-button procedures. The project also supports telemetry, displays, and remote configuration of compatible video transmitters and receivers. -
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Flix
Making an ESP32-based quadcopter from scratch
Flix is an open-source ESP32-based quadcopter project built from general-purpose components for education, research, and experimentation. Its firmware is written in Arduino-style C++ and intentionally kept compact so learners can understand the complete flight-control stack. Communication uses MAVLink over Wi-Fi or ESP-NOW. The drone can be controlled with a USB gamepad, radio controller, or smartphone. A wireless command-line interface supports configuration and analysis without a wired connection. The project also includes a Gazebo simulator that runs the original flight code and a Python library for scripted or automatic flights. Hardware files, assembly instructions, troubleshooting guides, and flight-control documentation make it suitable for hands-on learning. -
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ar-drone
A node.js client for controlling Parrot AR Drone 2.0 quad-copters
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. -
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gym-pybullet-drones
PyBullet Gymnasium environments for multi-agent reinforcement
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. -
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DroneSploit
Drone pentesting framework console
DroneSploit is a Python command-line framework for authorized security testing of drones and related wireless systems. Its interface is modeled after Metasploit to provide a familiar module-oriented workflow for security researchers. The framework gathers drone-specific assessment techniques and security modules in one console. Individual modules activate only when their required external tools and dependencies are available. Its architecture is built on the SploitKit framework and can be extended with additional modules. The project has been presented as a drone penetration-testing research platform at security conferences. Because its capabilities can affect real devices and networks, it is appropriate only for systems covered by explicit testing authorization. -
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FASTER
3D Trajectory Planner in Unknown Environments
FASTER is a research-grade 3D trajectory planner for autonomous navigation in unknown environments. It was developed for both aerial robots and ground vehicles that must move safely while new obstacles are discovered. The planner continuously builds safe and unknown-space trajectory segments rather than assuming the environment is fully mapped. Optimization is used to generate dynamically feasible paths while maintaining safety constraints. The project integrates with ROS, Gazebo, MAVROS, mapping components, and the Gurobi optimizer. Simulation examples demonstrate navigation for UAVs and ground robots in cluttered spaces. FASTER was published in IEEE Transactions on Robotics and is primarily intended for robotics research rather than turnkey consumer navigation. -
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Flask RESTful Example
Flask backend development interface example, using Flask
Flask RESTful Example is a practical Python backend reference showing how to build production-style APIs with Flask. It covers application configuration, standardized responses, logging, database access, authentication, background tasks, and deployment. MySQL and Redis examples demonstrate relational storage and caching workflows. Authentication examples include JWT, mobile verification codes, and WeChat-based login scenarios. Reporting modules generate Excel, Word, PDF, and hierarchical tree outputs. Celery, APScheduler, unit tests, coverage reports, Docker, Gunicorn, Nginx, and Drone CI demonstrate supporting infrastructure around the API. The repository is organized as a collection of real backend patterns rather than a single narrowly focused service. -
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GAAS
GAAS is an open-source program designed for fully autonomous VTOL
GAAS, or Generalized Autonomy Aviation System, is an open-source autonomy framework for drones, VTOL aircraft, and experimental flying-car research. It focuses on robust autonomous navigation using lidar rather than relying primarily on vision. The system includes mapping, HD-map localization, path planning, obstacle handling, and aircraft-control modules. Localization components include NDT and ICP approaches, with GPU acceleration available for selected algorithms. Simulation support integrates lidar, stereo cameras, PX4, Gazebo, and AirSim environments. Its modular C++ architecture allows individual autonomy components to be replaced or extended. The repository targets research rather than production aviation and reflects an older robotics stack centered on Ubuntu 18.04 and ROS Melodic. -
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PS-Drone
Programming a Parrot AR.Drone 2.0 with Python - The Easy Way
The PS-Drone-API is a full featured SDK, written in and for Python, for Parrot's AR.Drone 2.0. It was designed to be easy to learn, but it offers the full set of the possibilities of the AR.Drone 2.0, including Sensor-Data (aka NavData), Configuration and full Video-support. The video function is not restricted to mere viewing, it is also possible to analyze video images data using OpenCV2. Obviously, the PS-Drone is perfect for teaching purposes; however, even the requirements for professional purposes can be satisfied. PS-Drone comes with a tutorial, explaining its most important commands and the drone's most important sensor values. The examples are easy to understand for people with little programming experience. A full list of commands and a description of all sensor data is available in a detailed documentation. It took several months to create PS-Drone, so it would be nice to get some donations for further development (e.g. Parrot's Bebop) and as a appreciation. -
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PilottAI
Python framework for building scalable multi-agent systems
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. -
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dRehmFlight
Teensy/Arduino flight controller & stabilization for small-scale VTOL
dRehmFlight is an Arduino-compatible flight controller created for hobbyists, researchers, and learners building unusual VTOL aircraft. It emphasizes readable, centralized code instead of a large framework spread across many files and classes. The project is designed to teach aircraft stabilization and flight-control concepts while remaining easy to modify. Its primary hardware platform uses a Teensy 4.0 microcontroller and an MPU6050 six-axis IMU. Features include receiver input handling, IMU calibration, ESC calibration, motor arming, and customizable control logic. Because the code is easy to edit in the Arduino ecosystem, experimental aircraft behaviors can be added quickly. The project is intended mainly for education and rapid prototyping rather than commercial flight-control deployment.
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